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2020 – today
- 2024
[c157]João Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva:
Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. CEC 2024: 1-8- [c156]Zhen Liu, Jinglue Xu, Hitoshi Iba:
Genetic Algorithm-Based Robot Path Planning with the Extraction of Topological Map. CEC 2024: 1-10 - [c155]Yossathorn Tianrungroj, Hitoshi Iba:
ROIL: Rule Optimization via Large Language Model for Imitation Learning. CEC 2024: 1-8 - [c154]Jinyu Cai
, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei:
Exploring the Improvement of Evolutionary Computation via Large Language Models. GECCO Companion 2024: 83-84 - [c153]Kazuaki Harada, Hitoshi Iba:
Lamarckian Co-design of Soft Robots via Transfer Learning. GECCO 2024 - [i5]Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei:
Exploring the Improvement of Evolutionary Computation via Large Language Models. CoRR abs/2405.02876 (2024) - [i4]Jinglue Xu, Jialong Li, Zhen Liu, Nagar Anthel Venkatesh Suryanarayanan, Guoyuan Zhou, Jia Guo, Hitoshi Iba, Kenji Tei:
Large Language Models Synergize with Automated Machine Learning. CoRR abs/2405.03727 (2024) - [i3]Yusei Ishimizu, Jialong Li, Jinglue Xu, Jinyu Cai, Hitoshi Iba, Kenji Tei:
Automatic Adaptation Rule Optimization via Large Language Models. CoRR abs/2407.02203 (2024) - 2023
- [c152]Rikitaka Kinoyama, Nagar Anthel Venkatesh Suryanarayanan, Hitoshi Iba:
Continual Learning of LSTM Using Ant Colony Optimization. CEC 2023: 1-8 - [c151]Jinglue Xu, Suryanarayanan N. A. V., Hitoshi Iba:
MPENAS: Multi-fidelity Predictor-guided Evolutionary Neural Architecture Search with Zero-cost Proxies. GECCO 2023: 1276-1285 - [c150]Takuki Kurokawa, Hitoshi Iba:
Research on Atari Games using Evolutionary Computation with Successive Halving. IIAI-AAI 2023: 349-354 - [c149]Shunsuke Katayama, Adam Kotaro Pindur, Hitoshi Iba:
GA-based Co-Design Algorithm with Successive Halving. IIAI-AAI 2023: 430-437 - [c148]Masayuki Fujita, Hitoshi Iba:
CT Reconstruction from X-ray Videos with Conditional GAN Image Translation. IIAI-AAI 2023: 496-501 - [c147]Zhen Liu, Jinglue Xu, Hitoshi Iba:
Lion Swarm Optimization for Base Station Placement. IIAI-AAI 2023: 522-529 - [c146]Haruka Kobayashi, Adam Kotaro Pindur, Suryanarayanan Nagar Anthel Venkatesh, Hitoshi Iba:
Image Generation with Diffusion Model by Interactive Evolutionary Computation. SMC 2023: 2984-2990 - 2022
- [j36]Edgar Ademir Morales-Perez, Hitoshi Iba:
Deep Learning-Based Inverse Modeling for Predictive Control. IEEE Control. Syst. Lett. 6: 956-961 (2022) - [c145]Edgar Ademir Morales-Perez, Hitoshi Iba:
Evolutionary Optimization of Multi-step Dynamic Systems Learning. ICMRE 2022: 152-156 - [c144]Yossathorn Tianrungroj, Hitoshi Iba:
Isometric Convolutional Neural Networks for Bone Suppression of Multi-Planar Dual Energy Chest Radiograph. IIAI-AAI 2022: 409-415 - 2021
- [j35]Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera:
Evolving Architectures With Gradient Misalignment Toward Low Adversarial Transferability. IEEE Access 9: 164379-164393 (2021) - [c143]Lushen Liao, Adam Kotaro Pindur, Hitoshi Iba:
Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. CEC 2021: 564-571 - [c142]Edgar Ademir Morales-Perez, Hitoshi Iba:
LSTM Neural Network-based Predictive Control for a Robotic Manipulator. ISEEIE 2021: 128-135 - [i2]Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera:
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability. CoRR abs/2109.05919 (2021) - 2020
- [c141]Adam Kotaro Pindur, Hitoshi Iba:
Behavioral Locality in Genetic Programming. IJCCI 2020: 81-91 - [c140]Edgar Ademir Morales-Perez, Hitoshi Iba:
Inverse Model Optimization by Differential Evolution to improve Neural Predictive Control. SCIS/ISIS 2020: 1-8 - [c139]Adam Kotaro Pindur, Takahiro Horiba, Hitoshi Iba:
Parametric Genetic Programming. SCIS/ISIS 2020: 1-7 - [c138]Kevin Richard G. Operiano, Hitoshi Iba, Wanchalerm Pora:
Neuroevolution Architecture Backbone for X-ray Object Detection. SSCI 2020: 2296-2303 - [p4]Hitoshi Iba:
Evolutionary Computation and Meta-heuristics. Deep Neural Evolution 2020: 3-33 - [p3]Ryotaro Tsukada, Lekang Zou, Hitoshi Iba:
Evolving Deep Neural Networks for X-ray Based Detection of Dangerous Objects. Deep Neural Evolution 2020: 325-355 - [e2]Hitoshi Iba, Nasimul Noman:
Deep Neural Evolution - Deep Learning with Evolutionary Computation. Natural Computing Series, Springer 2020, ISBN 978-981-15-3684-7 [contents]
2010 – 2019
- 2019
- [c137]N. A. V. Suryanarayanan, Hitoshi Iba:
Diversifying experiences in multi agent reinforcement learning. IWCIA 2019: 47-52 - [c136]Naoyuki Kawabata, Hitoshi Iba:
Evolving Humanoid Robot Motions Based on Gene Regulatory Network. ICARM 2019: 67-74 - 2018
- [b1]Hitoshi Iba:
Evolutionary Approach to Machine Learning and Deep Neural Networks - Neuro-Evolution and Gene Regulatory Networks. Springer 2018, ISBN 978-981-13-0199-5, pp. 1-245 - [c135]Ysmaldo Landaez, Hiroshi Dohi, Hitoshi Iba:
Swarm Intelligence for Object Retrieval Applying Cooperative Transportation in Unknown Environments. ICRAI 2018: 62-69 - [c134]Hitoshi Iba, Ji Feng, Hossein Izadi Rad:
GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine. SMC 2018: 255-262 - [c133]Naotake Masuda, Hitoshi Iba:
Musical Composition by Interactive Evolutionary Computation and Latent Space Modeling. SMC 2018: 2792-2797 - [i1]Hossein Izadi Rad, Ji Feng, Hitoshi Iba:
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine. CoRR abs/1806.02502 (2018) - 2017
- [c132]Satish Kumar Jaiswal, Hitoshi Iba:
Coevolution of mapping functions for linear SVM. CEC 2017: 2225-2232 - 2016
- [c131]Changhee Han, Kenji Tsuge, Hitoshi Iba:
Optimization of artificial operon construction by consultation algorithms utilizing LCS. CEC 2016: 4273-4280 - [c130]Hiroshi Kera, Hitoshi Iba:
Vanishing ideal genetic programming. CEC 2016: 5018-5025 - 2015
- [j34]Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
Improved sampling using loopy belief propagation for probabilistic model building genetic programming. Swarm Evol. Comput. 23: 1-10 (2015) - [j33]Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Teruo Fujii, Yannick Rondelez, Hitoshi Iba:
An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems. IEEE Trans. Evol. Comput. 19(3): 374-386 (2015) - [c129]Annica Ivert, Claus de Castro Aranha, Hitoshi Iba:
Feature selection and classification using ensembles of genetic programs and within-class and between-class permutations. CEC 2015: 1121-1128 - [c128]Yuki Naruse, Hiroyuki Hamada, Taizo Hanai, Hitoshi Iba:
Evolutionary design of oscillatory genetic networks in silico. CEC 2015: 1596-1603 - [c127]Marco S. Nobile, Hitoshi Iba:
A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks. CEC 2015: 2376-2383 - 2014
- [j32]Quang Huy Dinh, Nasimul Noman, Hitoshi Iba:
Oscillatory Synthetic biological System Construction using Interactive Evolutionary Computations. J. Comput. Sci. 10(12): 2640-2652 (2014) - [c126]Mohammad A. Eita, Amin A. Shoukry, Hitoshi Iba:
Constrained Group Counseling Optimization. ALIFE 2014: 631-638 - [c125]Mari Nishiyama, Hitoshi Iba:
Applying conversion matrix to robots for imitating motion using genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 938-944 - 2013
- [j31]Nasimul Noman, Leon Palafox, Hitoshi Iba:
Evolving Genetic Networks for Synthetic Biology. New Gener. Comput. 31(2): 71-88 (2013) - [j30]Leon Palafox, Nasimul Noman, Hitoshi Iba:
Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization. IEEE Trans. Evol. Comput. 17(4): 577-587 (2013) - [c124]Leon Palafox, Nasimul Noman, Hitoshi Iba:
Extending Population Based Incremental Learning using Dirichlet Processes. IEEE Congress on Evolutionary Computation 2013: 1686-1693 - [c123]Dhammika S. Hettiarachchi, Nasimul Noman, Hitoshi Iba:
Messy Genetic Algorithm for evolving mathematical function evaluating variable length gene regulatory networks. IEEE Congress on Evolutionary Computation 2013: 2154-2161 - [c122]Hiroyuki Sato, Danushka Bollegala, Yoshihiko Hasegawa, Hitoshi Iba:
Learning non-linear ranking functions for web search using probabilistic model building GP. IEEE Congress on Evolutionary Computation 2013: 3371-3378 - [c121]Nathanael Aubert, Quang Huy Dinh, Masami Hagiya, Hitoshi Iba, Teruo Fujii, Nicolas Bredèche, Yannick Rondelez:
Evolution of Cheating DNA-based Agents Playing the Game of Rock-Paper-Scissors. ECAL 2013: 1143-1150 - [c120]Hiroshi Dohi, Hitoshi Iba, Mitsuru Ishizuka:
Your Own Facial Parameter Generation for a 3D Avatar Interface Using an MRI Medical Image. HCI (29) 2013: 577-581 - 2012
- [j29]Alex Fukunaga, Hideru Hiruma, Kazuki Komiya, Hitoshi Iba:
Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control. Genet. Program. Evolvable Mach. 13(2): 239-263 (2012) - [j28]Claus de Castro Aranha, Carlos R. B. Azevedo, Hitoshi Iba:
Money in trees: How memes, trees, and isolation can optimize financial portfolios. Inf. Sci. 182(1): 184-198 (2012) - [c119]Leon Palafox, Hitoshi Iba:
On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory Networks. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c118]Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
Probabilistic model building GP with Belief propagation. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c117]Vishal Soam, Leon Palafox, Hitoshi Iba:
Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c116]Kazuki Komiya, Nasimul Noman, Hitoshi Iba:
The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation. GECCO (Companion) 2012: 1419-1420 - [c115]Leon Palafox, Hitoshi Iba:
Gene regulatory network reverse engineering using population based incremental learning and K-means. GECCO (Companion) 2012: 1423-1424 - [c114]Nasimul Noman, Leon Palafox, Hitoshi Iba:
On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model. ICHIT (1) 2012: 155-164 - [c113]Chaogang He, Nasimul Noman, Hitoshi Iba:
An Improved Artificial Bee Colony Algorithm with Non-separable Operator. ICHIT (1) 2012: 203-210 - 2011
- [j27]Nasimul Noman, Hitoshi Iba:
? constrained differential evolution for economic dispatch with valve-point effect. Int. J. Bio Inspired Comput. 3(6): 346-357 (2011) - [j26]Akio Watanabe, Hitoshi Iba:
Creating singing vocal expressions by means of interactive evolutionary computation. Int. J. Knowl. Eng. Soft Data Paradigms 3(1): 40-56 (2011) - [j25]Shu Liu, Hitoshi Iba:
A Study on Computational Efficiency and Plasticity in Baldwinian Learning. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1300-1309 (2011) - [c112]Hideru Hiruma, Alex Fukunaga, Kazuki Komiya, Hitoshi Iba:
Evolving an effective robot tour guide. IEEE Congress on Evolutionary Computation 2011: 137-144 - [c111]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
An adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2011: 2229-2236 - [c110]Nasimul Noman, Hitoshi Iba:
Solving dynamic economic dispatch problems using cellular differential evolution. IEEE Congress on Evolutionary Computation 2011: 2633-2640 - [c109]Badarch Tserenchimed, Shu Liu, Hitoshi Iba:
A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing. GECCO (Companion) 2011: 139-140 - [c108]Shu Liu, Hitoshi Iba:
Imitation tendencies of local search schemes in baldwinian evolution. GECCO 2011: 553-560 - [c107]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
Differential evolution with self adaptive local search. GECCO 2011: 1099-1106 - [c106]Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba:
Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm. GECCO 2011: 1171-1178 - [c105]Danushka Bollegala, Nasimul Noman, Hitoshi Iba:
RankDE: learning a ranking function for information retrieval using differential evolution. GECCO 2011: 1771-1778 - 2010
- [j24]Mitra Kabir, Nasimul Noman, Hitoshi Iba:
Reverse engineering gene regulatory network from microarray data using linear time-variant model. BMC Bioinform. 11(S-1): 56 (2010) - [c104]Nasimul Noman, Hitoshi Iba:
Cellular Differential Evolution Algorithm. Australasian Conference on Artificial Intelligence 2010: 293-302 - [c103]Hiroyuki Ishiwata, Nasimul Noman, Hitoshi Iba:
Emergence of Cooperation in a Bio-inspired Multi-agent System. Australasian Conference on Artificial Intelligence 2010: 364-374 - [c102]Makoto Tanji, Hitoshi Iba:
ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolution. GECCO 2010: 1275-1282 - [c101]Nasimul Noman, Jiradej Vatanutanon, Hitoshi Iba:
Tuning selection pressure in differential evolution using local selection. NaBIC 2010: 66-71 - [c100]Dhammika S. Hettiarachchi, Hitoshi Iba:
Evolution of a yoga performing humanoid. NaBIC 2010: 78-83 - [c99]Shu Liu, Hitoshi Iba:
A study on the computational efficiency of Baldwinian evolution. NaBIC 2010: 467-472 - [c98]Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba:
Polynomial Selection: A new way to tune selective pressure. NaBIC 2010: 597-602
2000 – 2009
- 2009
- [j23]Claus de Castro Aranha, Hitoshi Iba:
The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization. Memetic Comput. 1(2): 139-151 (2009) - [j22]Topon Kumar Paul, Hitoshi Iba:
Prediction of Cancer Class with Majority Voting Genetic Programming Classifier Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 6(2): 353-367 (2009) - [j21]Yoshihiko Hasegawa, Hitoshi Iba:
Latent Variable Model for Estimation of Distribution Algorithm Based on a Probabilistic Context-Free Grammar. IEEE Trans. Evol. Comput. 13(4): 858-878 (2009) - [c97]Makoto Tanji, Hitoshi Iba:
Program optimization by random tree sampling. GECCO 2009: 1131-1138 - [c96]Toshihiko Yanase, Yoshihiko Hasegawa, Hitoshi Iba:
Binary encoding for prototype tree of probabilistic model building GP. GECCO 2009: 1147-1154 - [c95]Claus de Castro Aranha, Hitoshi Iba:
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. GECCO 2009: 1427-1434 - [c94]Akinori Hirabayashi, Claus de Castro Aranha, Hitoshi Iba:
Optimization of the trading rule in foreign exchange using genetic algorithm. GECCO 2009: 1529-1536 - 2008
- [j20]Hitoshi Iba:
Inference of differential equation models by genetic programming. Inf. Sci. 178(23): 4453-4468 (2008) - [j19]Nasimul Noman, Hitoshi Iba:
Accelerating Differential Evolution Using an Adaptive Local Search. IEEE Trans. Evol. Comput. 12(1): 107-125 (2008) - [j18]Yoshihiko Hasegawa, Hitoshi Iba:
A Bayesian Network Approach to Program Generation. IEEE Trans. Evol. Comput. 12(6): 750-764 (2008) - [c93]Makoto Tanji, Daichi Ando, Hitoshi Iba:
Improving Metrical Grammar with Grammar Expansion. Australasian Conference on Artificial Intelligence 2008: 180-191 - [c92]Claus de Castro Aranha, Hitoshi Iba:
Application of a Memetic Algorithm to the Portfolio Optimization Problem. Australasian Conference on Artificial Intelligence 2008: 512-521 - [c91]Claus de Castro Aranha, Hitoshi Iba:
A tree-based GA representation for the portfolio optimization problem. GECCO 2008: 873-880 - [c90]Toshihiko Yanase, Hitoshi Iba:
Evolutionary Multi-Objective Optimization for Biped Walking. SEAL 2008: 635-644 - 2007
- [j17]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Cooperative transportation system for humanoid robots using simulation-based learning. Appl. Soft Comput. 7(1): 115-125 (2007) - [j16]Nasimul Noman, Hitoshi Iba:
Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 634-647 (2007) - [c89]Claus de Castro Aranha, Hitoshi Iba:
Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. IEEE Congress on Evolutionary Computation 2007: 196-203 - [c88]Yoshihiko Hasegawa, Hitoshi Iba:
Estimation of distribution algorithm based on probabilistic grammar with latent annotations. IEEE Congress on Evolutionary Computation 2007: 1043-1050 - [c87]Daichi Ando, Hitoshi Iba:
Interactive composition aid system by means of tree representation of musical phrase. IEEE Congress on Evolutionary Computation 2007: 4258-4265 - [c86]Daichi Ando, Palle Dahlstedt, Mats G. Nordahl, Hitoshi Iba:
Interactive GP with Tree Representation of Classical Music Pieces. EvoWorkshops 2007: 577-584 - [p2]Nasimul Noman, Hitoshi Iba:
Inferring Regulations in a Genomic Network from Gene Expression Profiles. Analysis of Biological Data: A Soft Computing Approach 2007: 205-229 - 2006
- [c85]Yoshihiko Hasegawa, Hitoshi Iba:
Optimizing Programs with Estimation of Bayesian Network. IEEE Congress on Evolutionary Computation 2006: 1378-1385 - [c84]Takahiro Tohge, Kenta Shimada, Hitoshi Iba:
Evolutionary Morphology for Real Cubic Modular Robots. IEEE Congress on Evolutionary Computation 2006: 1995-2001 - [c83]Topon Kumar Paul, Yoshihiko Hasegawa, Hitoshi Iba:
Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier. IEEE Congress on Evolutionary Computation 2006: 2521-2528 - [c82]Nasimul Noman, Hitoshi Iba:
On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles. IEEE Congress on Evolutionary Computation 2006: 2543-2550 - [c81]Topon Kumar Paul, Hitoshi Iba:
Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease. CIBCB 2006: 1-6 - [c80]Nasimul Noman, Hitoshi Iba:
Inference of genetic networks using S-system: information criteria for model selection. GECCO 2006: 263-270 - [c79]Topon Kumar Paul, Hitoshi Iba:
Identification of weak motifs in multiple biological sequences using genetic algorithm. GECCO 2006: 271-278 - [c78]Nasimul Noman, Hitoshi Iba:
A new generation alternation model for differential evolution. GECCO 2006: 1265-1272 - [c77]Toshihiko Yanase, Hitoshi Iba:
Evolutionary motion design for humanoid robots. GECCO 2006: 1825-1832 - [c76]Shotaro Kamio, Hitoshi Iba:
Object Transportation Using Two Humanoid Robots Based on Multi-agent Path Planning Algorithm. IAS 2006: 318-325 - [c75]Daichi Ando, Palle Dahlstedt, Mats G. Nordahl, Hitoshi Iba:
Computer Aided Composition by Means of Interactive GP. ICMC 2006 - [c74]Shotaro Kamio, Hitoshi Iba:
Cooperative Object Transport with Humanoid Robots using RRT Path Planning and Re-Planning. IROS 2006: 2608-2613 - [c73]Shotaro Kamio, Hitoshi Iba:
Search Algorithm of the Order of Object Transportation by Multiple Robots. IROS 2006: 4097-4102 - [c72]Deniz Aydemir, Hitoshi Iba:
Evolutionary Behavior Acquisition for Humanoid Robots. PPSN 2006: 651-660 - [p1]Kohsuke Yanai, Hitoshi Iba:
Estimation of Distribution Programming: EDA-based Approach to Program Generation. Towards a New Evolutionary Computation 2006: 103-122 - [e1]Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen, Xin Yao:
Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings. Lecture Notes in Computer Science 4247, Springer 2006, ISBN 3-540-47331-9 [contents] - 2005
- [j15]Hideyuki Takagi, Hitoshi Iba:
Interactive Evolutionary Computation. New Gener. Comput. 23(2): 113-114 (2005) - [j14]Shotaro Kamio, Hitoshi Iba:
Adaptation technique for integrating genetic programming and reinforcement learning for real robots. IEEE Trans. Evol. Comput. 9(3): 318-333 (2005) - [c71]Nasimul Noman, Hitoshi Iba:
Inference of gene regulatory networks using s-system and differential evolution. GECCO 2005: 439-446 - [c70]Topon Kumar Paul, Hitoshi Iba:
Extraction of informative genes from microarray data. GECCO 2005: 453-460 - [c69]Nasimul Noman, Hitoshi Iba:
Enhancing differential evolution performance with local search for high dimensional function optimization. GECCO 2005: 967-974 - [c68]Kohsuke Yanai, Hitoshi Iba:
Probabilistic distribution models for EDA-based GP. GECCO 2005: 1775-1776 - [c67]Shotaro Kamio, Hitoshi Iba:
Random sampling algorithm for multi-agent cooperation planning. IROS 2005: 1265-1270 - 2004
- [j13]Shin Ando, Hitoshi Iba:
Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. Genet. Program. Evolvable Mach. 5(2): 145-156 (2004) - [j12]Hitoshi Iba, Takahiro Tohge, Yutaka Inoue:
Cooperative Transportation by Humanoid Robots - Solving Piano Movers' Problem. Int. J. Hybrid Intell. Syst. 1(3-4): 189-201 (2004) - [c66]Shin Ando, Hitoshi Iba:
Real-coded GA with multimodal uniform distribution. IEEE Congress on Evolutionary Computation 2004: 827-834 - [c65]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Object transportation by two humanoid robots using cooperative learning. IEEE Congress on Evolutionary Computation 2004: 1201-1208 - [c64]Hongwei Liu, Hitoshi Iba:
A hierarchical approach for adaptive humanoid robot control. IEEE Congress on Evolutionary Computation 2004: 1546-1553 - [c63]Nasimul Noman, Kouichi Okada, Naoki Hosoyama, Hitoshi Iba:
Use of clustering to improve the layout of gene network for visualization. IEEE Congress on Evolutionary Computation 2004: 2068-2075 - [c62]Topon Kumar Paul, Hitoshi Iba:
Selection of the most useful subset of genes for gene expression-based classification. IEEE Congress on Evolutionary Computation 2004: 2076-2083 - [c61]Shotaro Kamio, Hitoshi Iba:
Evolutionary construction of a simulator for real robots. IEEE Congress on Evolutionary Computation 2004: 2202-2209 - [c60]Topon Kumar Paul, Hitoshi Iba:
Identification of Informative Genes for Molecular Classification Using Probabilistic Model Building Genetic Algorithm. GECCO (1) 2004: 414-425 - [c59]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots. GECCO (1) 2004: 590-602 - [c58]Hongwei Liu, Hitoshi Iba:
Humanoid Robot Programming Based on CBR Augmented GP. GECCO (2) 2004: 708-709 - [c57]Kohsuke Yanai, Hitoshi Iba:
Program Evolution by Integrating EDP and GP. GECCO (1) 2004: 774-785 - [c56]Yoshihiko Hasegawa, Hitoshi Iba:
Multimodal Search with Immune Based Genetic Programming. ICARIS 2004: 330-341 - 2003
- [j11]Nikolay I. Nikolaev, Hitoshi Iba:
Polynomial harmonic GMDH learning networks for time series modeling. Neural Networks 16(10): 1527-1540 (2003) - [j10]Nikolay Y. Nikolaev, Hitoshi Iba:
Learning polynomial feedforward neural networks by genetic programming and backpropagation. IEEE Trans. Neural Networks 14(2): 337-350 (2003) - [c55]Shin Ando, Hitoshi Iba:
Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. IEEE Congress on Evolutionary Computation 2003: 207-214 - [c54]Shotaro Kamio, Hitoshi Iba:
Real-time adaptation technique to real robots: an experiment with a humanoid robot. IEEE Congress on Evolutionary Computation 2003: 506-513 - [c53]Hongwei Liu, Hitoshi Iba:
Multi-agent learning by evolutionary subsumption. IEEE Congress on Evolutionary Computation 2003: 1115-1122 - [c52]Kohsuke Yanai, Hitoshi Iba:
Estimation of distribution programming based on Bayesian network. IEEE Congress on Evolutionary Computation 2003: 1618-1625 - [c51]N. Hosoyma, Hitoshi Iba:
3-D visualization of a gene regulatory network: stochastic search for layouts. IEEE Congress on Evolutionary Computation 2003: 1840-1847 - [c50]Shotaro Kamio, Hongwei Liu, Hideyuki Mitsuhasi, Hitoshi Iba:
Researches on Ingeniously Behaving Agents. Evolvable Hardware 2003: 218-230 - [c49]Shin Ando, Hitoshi Iba:
Artificial Immune System for Classification of Cancer. EvoWorkshops 2003: 1-10 - [c48]Shotaro Kamio, Hideyuki Mitsuhasi, Hitoshi Iba:
Integration of Genetic Programming and Reinforcement Learning for Real Robots. GECCO 2003: 470-482 - [c47]Topon Kumar Paul, Hitoshi Iba:
Reinforcement Learning Estimation of Distribution Algorithm. GECCO 2003: 1259-1270 - [c46]Hongwei Liu, Hitoshi Iba:
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption. GECCO 2003: 1715-1718 - [c45]Hiromi Wakaki, Hitoshi Iba:
AVICE: Evolving Avatar's Movernent. GECCO 2003: 1816-1817 - [c44]Shin Ando, Hitoshi Iba:
Artificial Immune System for Classification of Gene Expression Data. GECCO 2003: 1926-1937 - [c43]Shusuke Saeki, Kiyoshi Asai, Katsutoshi Takahashi, Yutaka Ueno, Katsunori Isono, Hitoshi Iba:
GA-Based Inference of Euler Angles for Single Particle Analysis. GECCO 2003: 2288-2300 - [c42]Topon Kumar Paul, Hitoshi Iba:
Optimization in Continuous Domain by Real-coded Estimation of Distribution Algorithm. HIS 2003: 262-271 - [c41]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning. HIS 2003: 1124-1134 - [c40]Taro Yabuki, Hitoshi Iba:
Turing-complete data structure for genetic programming. SMC 2003: 3577-3582 - [c39]Natsuki Higashi, Hitoshi Iba:
Particle swarm optimization with Gaussian mutation. SIS 2003: 72-79 - 2002
- [j9]Nikolay I. Nikolaev, Hitoshi Iba:
Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform. Int. J. Neural Syst. 12(5): 399-410 (2002) - [j8]Hitoshi Iba, Atsushi Mimura:
Inference of a gene regulatory network by means of interactive evolutionary computing. Inf. Sci. 145(3-4): 225-236 (2002) - [j7]Shin Ando, Erina Sakamoto, Hitoshi Iba:
Evolutionary modeling and inference of gene network. Inf. Sci. 145(3-4): 237-259 (2002) - [c38]Makoto Iwashita, Hitoshi Iba:
Island model GP with immigrants aging and depth-dependent crossover. IEEE Congress on Evolutionary Computation 2002: 267-272 - [c37]Shin Ando, Erina Sakamoto, Hitoshi Iba:
Modeling genetic network by hybrid GP. IEEE Congress on Evolutionary Computation 2002: 291-296 - [c36]Nikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba:
Overfitting avoidance in genetic programming of polynomials. IEEE Congress on Evolutionary Computation 2002: 1209-1214 - [c35]Shin Ando, Hitoshi Iba:
Ant Algorithm For Construction Of Evolutionary Tree. GECCO 2002: 131 - [c34]Hitoshi Iba, Erina Sakamoto:
Inference Of Differential Equation Moels By Genetic Programming. GECCO 2002: 788-795 - [c33]Hitoshi Iba, N. Tokui, Hiromi Wakaki:
3D-CG Avatar Motion Design by means of Interactive Evolutionary Computation. HIS 2002: 540-549 - [c32]Atsushi Mimura, Hitoshi Iba:
Inference of a Gene Regulatory Network by Means of Interactive Evolutionary Computing. JCIS 2002: 1243-1248 - [c31]Shin Ando, Erina Sakamoto, Hitoshi Iba:
Evolutionary Modeling and Inference by Genetic Network. JCIS 2002: 1249-1256 - 2001
- [j6]Nikolay I. Nikolaev, Hitoshi Iba:
Accelerated Genetic Programming of Polynomials. Genet. Program. Evolvable Mach. 2(3): 231-257 (2001) - [j5]Nikolay I. Nikolaev, Hitoshi Iba:
Regularization approach to inductive genetic programming. IEEE Trans. Evol. Comput. 5(4): 359-375 (2001) - [c30]Nikolay I. Nikolaev, Hitoshi Iba:
Genetic programming of polynomial harmonic models using the discrete Fourier transform. CEC 2001: 267-274 - [c29]Shin Ando, Hitoshi Iba:
Inference of gene regulatory model by genetic algorithms. CEC 2001: 712-719 - [c28]Erina Sakamoto, Hitoshi Iba:
Inferring a system of differential equations for a gene regulatory network by using genetic programming. CEC 2001: 720-726 - [c27]Nikolay I. Nikolaev, Hitoshi Iba:
Genetic programming of polynomial harmonic models using the discrete Fourier transform. CEC 2001: 902-909 - [c26]Kohsuke Yanai, Hitoshi Iba:
Multi-agent Robot Learning by Means of Genetic Programming: Solving an Escape Problem. ICES 2001: 192-203 - 2000
- [j4]Masaya Iwata, Isamu Kajitani, Masahiro Murakawa, Yuji Hirao, Hitoshi Iba, Tetsuya Higuchi:
Pattern recognition system using evolvable hardware. Syst. Comput. Jpn. 31(4): 1-11 (2000) - [c25]Shin Ando, Hitoshi Iba:
Analog circuit design with a variable length chromosome. CEC 2000: 994-1001 - [c24]Hitoshi Iba, Nikolay Nikolaev:
Genetic programming polynomial models of financial data series. CEC 2000: 1459-1466 - [c23]Hitoshi Iba, Makoto Terao:
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming. GECCO 2000: 419-426
1990 – 1999
- 1999
- [j3]John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo:
Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Trans. Evol. Comput. 3(2): 159-161 (1999) - [c22]Hitoshi Iba, Takashi Sasaki:
Using genetic programming to predict financial data. CEC 1999: 244-251 - [c21]Nikolay I. Nikolaev, Hitoshi Iba:
Automated Discovery of Polynomials by Inductive Genetic Programming. PKDD 1999: 456-461 - 1998
- [j2]Hitoshi Iba:
Evolutionary Learning of Communicating Agents. Inf. Sci. 108(1-4): 181-206 (1998) - [c20]Takuya Ito, Hitoshi Iba, Satoshi Sato:
Non-destructive Depth-Dependent Crossover for Genetic Programming. EuroGP 1998: 71-82 - 1996
- [c19]Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu:
An Approach for Genetic Synthesizer of Binary Decision Diagram. International Conference on Evolutionary Computation 1996: 559-564 - [c18]Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu:
Sharing and Refinement for Reusable Subroutines of Genetic Programming. International Conference on Evolutionary Computation 1996: 565-570 - [c17]Hitoshi Iba, Masaya Iwata, Tetsuya Higuchi:
Machine Learning Approach to Gate-Level Evolvable Hardware. ICES 1996: 327-343 - [c16]Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu:
Evolution of Binary Decision Diagrams for Digital Circuit Design Using Genetic Programming. ICES 1996: 470-481 - [c15]Hitoshi Iba:
Emergent Cooperation for Multiple Agents Using Genetic Programming. PPSN 1996: 32-41 - [c14]Hitoshi Iba:
Random Tree Generation for Genetic Programming. PPSN 1996: 144-153 - [c13]Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu:
Robust GP in Robot Learning. PPSN 1996: 751-760 - [c12]Masaya Iwata, Isamu Kajitani, Hitoshi Yamada, Hitoshi Iba, Tetsuya Higuchi:
A Pattern Recognition System Using Evolvable Hardware. PPSN 1996: 761-770 - 1995
- [j1]Hitoshi Iba, Hugo de Garis, Taisuke Sato:
A Numerical Approach to Genetic Programming for System Identification. Evol. Comput. 3(4): 417-452 (1995) - [c11]Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya, Bernard Manderick:
Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. Towards Evolvable Hardware 1995: 118-135 - [c10]Hitoshi Iba, Taisuke Sato, Hugo de Garis:
Temporal Data Processing Using Genetic Programming. ICGA 1995: 279-286 - 1994
- [c9]Hitoshi Iba, Taisuke Sato, Hugo de Garis:
System Identification Approach to Genetic Programming. International Conference on Evolutionary Computation 1994: 401-406 - [c8]Hitoshi Iba, Hugo de Garis, Taisuke Sato:
Genetic Programming with Local Hill-Climbing. PPSN 1994: 302-311 - [c7]Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick:
Applying Evolvable Hardware to Autonomous Agents. PPSN 1994: 524-533 - 1993
- [c6]Hitoshi Iba, Takio Kurita, Hugo de Garis, Taisuke Sato:
System Identification using Structured Genetic Algorithms. ICGA 1993: 279-286 - [c5]Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato:
Evolutionary Learning Strategy using Bug-Based Search. IJCAI 1993: 960-966 - 1992
- [c4]Hitoshi Iba, Sumitaka Akiba, Tetsuya Higuchi, Taisuke Sato:
BUGS: A Bug-Based Search Strategy using Genetic Algorithms. PPSN 1992: 167- - [c3]Hugo de Garis, Hitoshi Iba, Tatsumi Furuya:
Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes. PPSN 1992: 495-504 - 1991
- [c2]Hitoshi Iba, Hirochika Inoue:
Reasoning of Geometric Concepts based on Algebraic Constraint-directed Method. IJCAI 1991: 143-151
1980 – 1989
- 1988
- [c1]Hitoshi Iba, Hitoshi Matsubara, Hirochika Inoue:
View and Visibility for Managing Incomplete Environmental Models. IROS 1988: 411-416
Coauthor Index
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