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ORCID10. SEAL 2014: Dunedin, New Zealand
- Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang:
Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings. Lecture Notes in Computer Science 8886, Springer 2014, ISBN 978-3-319-13562-5
Evolutionary Optimization
- AbdelMonaem F. M. AbdAllah, Daryl Essam, Ruhul A. Sarker:
Solving Dynamic Optimisation Problem with Variable Dimensions. 1-12 - Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber:
A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids. 13-24 - Olga Smalikho, Markus Olhofer:
Adaptive System Design by a Simultaneous Evolution of Morphology and Information Processing. 25-36 - Ya-Hui Jia, Wei-Neng Chen, Jun Zhang
, Jing-Jing Li:
Generating Software Test Data by Particle Swarm Optimization. 37-47 - Shyam Sundar:
A Steady-State Genetic Algorithm for the Dominating Tree Problem. 48-57 - Kouta Hamano, Kei Ohnishi, Mario Köppen:
Evolution of Developmental Timing for Solving Hierarchically Dependent Deceptive Problems. 58-69 - Shigeyoshi Tsutsui:
The Introduction of Asymmetry on Traditional 2-Parent Crossover Operators for Crowding and Its Effects. 70-81 - Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. 82-93 - Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Customized Selection in Estimation of Distribution Algorithms. 94-105 - Yang Yu, Hui Ma, Mengjie Zhang:
A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition. 106-118 - Krishna Manjari Mishra, Marcus Gallagher:
A Modified Screening Estimation of Distribution Algorithm for Large-Scale Continuous Optimization. 119-130 - Marcus Gallagher:
Clustering Problems for More Useful Benchmarking of Optimization Algorithms. 131-142 - Martin Drozdik, Kiyoshi Tanaka, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel:
An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions. 143-154 - Shiqin Yang, Yuji Sato:
Fuzzy Clustering with Fitness Predator Optimizer for Multivariate Data Problems. 155-166 - Rolando Armas, Hernán E. Aguirre, Kiyoshi Tanaka:
Effects of Mutation and Crossover Operators in the Optimization of Traffic Signal Parameters. 167-179 - Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang:
A GP Approach to QoS-Aware Web Service Composition and Selection. 180-191
Evolutionary Multi-objective Optimization
- Xin Qiu, Ye Huang, Jian-Xin Xu, Kay Chen Tan:
A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space. 192-203 - Logan Michael Yliniemi, Kagan Tumer:
PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front. 204-215 - He Jiang, Wencheng Sun, Zhilei Ren, Xiaochen Lai, Yong Piao:
Evolving Hard and Easy Traveling Salesman Problem Instances: A Multi-objective Approach. 216-227 - Mohammad Haqqani, Xiaodong Li, Xinghuo Yu:
A Multi-Objective A* Search Based on Non-dominated Sorting. 228-238 - Hernán E. Aguirre, Yuki Yazawa, Akira Oyama, Kiyoshi Tanaka:
Extending AεSεH from Many-objective to Multi-objective Optimization. 239-250 - Anh Quang Nguyen, Markus Wagner, Frank Neumann:
User Preferences for Approximation-Guided Multi-objective Evolution. 251-262 - Peter A. Whigham, Caitlin A. Owen:
Multi-objective Optimisation, Software Effort Estimation and Linear Models. 263-273 - Hiroyuki Sato:
Adaptive Update Range of Solutions in MOEA/D for Multi and Many-Objective Optimization. 274-286
Evolutionary Machine Learning
- Shuang Yu, Kok Kiong Tan:
Classification of Lumbar Ultrasound Images with Machine Learning. 287-298 - Madalina M. Drugan, Pedro Isasi, Bernard Manderick:
Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. 299-310 - Anh Hoang Dau, Victor Ciesielski, Andy Song:
Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class. 311-322 - Yuya Morino, Yuko Osana:
Walking Motion Learning of Quadrupedal Walking Robot by Profit Sharing That Can Learn Deterministic Policy for POMDPs Environments. 323-334 - Harith Al-Sahaf, Mengjie Zhang, Mark Johnston:
Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances. 335-346 - Cain Cresswell-Miley, Kourosh Neshatian:
A Stepwise Multi-centroid Classification Learning Algorithm with GPU Implementation. 347-358 - Pietro A. Consoli, Leandro L. Minku, Xin Yao:
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics. 359-370 - Feng Xie, Andy Song, Vic Ciesielski:
Learning Patterns of States in Time Series by Genetic Programming. 371-382 - Isidro M. Alvarez, Will N. Browne, Mengjie Zhang:
Reusing Learned Functionality to Address Complex Boolean Functions. 383-394 - Kamran Shafi, Hussein A. Abbass:
Analysis of Online Signature Based Learning Classifier Systems for Noisy Environments: A Feedback Control Theoretic Approach. 395-406 - Logan Michael Yliniemi, Kagan Tumer:
Multi-objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning. 407-418
Theoretical Developments
- Frank Neumann, Anh Quang Nguyen:
On the Impact of Utility Functions in Interactive Evolutionary Multi-objective Optimization. 419-430 - Mohammad Reza Bonyadi, Zbigniew Michalewicz, Markus Wagner:
Beyond the Edge of Feasibility: Analysis of Bottlenecks. 431-442 - Michael Kirley, Friedrich Burkhard von der Osten:
Adaptive Risk Aversion in Social Dilemmas. 443-454 - Rachael Morgan, Marcus Gallagher:
Fitness Landscape Analysis of Circles in a Square Packing Problems. 455-466 - Shinichi Shirakawa, Tomoharu Nagao:
Local Landscape Patterns for Fitness Landscape Analysis. 467-478 - Borhan Kazimipour, Xiaodong Li, A. Kai Qin:
Why Advanced Population Initialization Techniques Perform Poorly in High Dimension? 479-490 - Grant Dick:
Bloat and Generalisation in Symbolic Regression. 491-502
Evolutionary Feature Reduction
- Binh Tran, Bing Xue, Mengjie Zhang:
Improved PSO for Feature Selection on High-Dimensional Datasets. 503-515 - Bing Xue, Wenlong Fu, Mengjie Zhang:
Multi-objective Feature Selection in Classification: A Differential Evolution Approach. 516-528 - Jinze Chai, Ming Li, Yu Zheng, Liya Wang, Fan Yu:
A Multi-objective Optimization Method for Product Feature Fatigue Problem. 529-541 - Anh Hoang Dau, Andy Song, Feng Xie, Flora Dilys Salim, Vic Ciesielski:
Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours. 542-553 - Yahya Z. Arajy, Salwani Abdullah, Saif Kifah:
Variable Neighbourhood Iterated Improvement Search Algorithm for Attribute Reduction Problems. 554-568 - Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang:
PSO and Statistical Clustering for Feature Selection: A New Representation. 569-581 - Zhe Zhou, Xing Liu, Ping Li, Lin Shang:
Feature Selection Method with Proportionate Fitness Based Binary Particle Swarm Optimization. 582-592 - Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue:
Genetic Programming for Measuring Peptide Detectability. 593-604 - Binh Tran, Bing Xue, Mengjie Zhang:
Overview of Particle Swarm Optimisation for Feature Selection in Classification. 605-617
Evolutionary Scheduling and Combinatorial Optimization
- Richard J. Marshall, Mark Johnston, Mengjie Zhang:
A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation. 618-630 - Yi Mei, Xiaodong Li, Xin Yao:
Improving Efficiency of Heuristics for the Large Scale Traveling Thief Problem. 631-643 - Zhi-Hui Zhan, Ge-Yi Zhang, Ying Lin, Yue-Jiao Gong, Jun Zhang:
Load Balance Aware Genetic Algorithm for Task Scheduling in Cloud Computing. 644-655 - Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling. 656-667 - Richard J. Marshall, Mark Johnston, Mengjie Zhang:
Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem. 668-679 - Lixia Wang, Jing Liu, Mingxing Zhou:
An Organizational Cooperative Coevolutionary Algorithm for Multimode Resource-Constrained Project Scheduling Problems. 680-690 - Jing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song:
Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming. 691-702 - Nasser R. Sabar, Andy Song:
Dual Population Genetic Algorithm for the Cardinality Constrained Portfolio Selection Problem. 703-712 - Qiang Wang, Hai-Lin Liu, Zhenhua Li, Yiu-ming Cheung, Jun Zhang:
An Evolutionary Algorithm for TD-LTE Resource Allocation Based on Adaptive Fairness Threshold. 713-722 - John Park, Su Nguyen, Mengjie Zhang, Mark Johnston:
Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming. 723-734
Real World Applications and Evolutionary Image Analysis
- Kyaw Ko-Ko-Htet, Arun-Shankar Narayanan, Kok Kiong Tan, Chandran Nair:
Application of Adaptive Streaming Technology in Remotely Driven Electric Vehicles. 735-746 - Lyndon While, Chris McDonald:
Optimising Wi-Fi Installations Using a Multi-Objective Evolutionary Algorithm. 747-759 - Darcy Chia, Lyndon While:
Automated Design of Architectural Layouts Using a Multi-Objective Evolutionary Algorithm. 760-772 - Kyaw Ko-Ko-Htet, Kok Kiong Tan:
An Approach for Real-Time Frame Size Adaptation in M-JPEG Streams. 773-784 - Mio Takano, Yuko Osana:
Automatic Melody Generation Considering User's Evaluation Using Interactive Genetic Algorithm. 785-797 - Oliver Batchelor, Richard D. Green:
Object Recognition by Stochastic Metric Learning. 798-809 - Wenlong Fu, Mark Johnston, Mengjie Zhang:
Automatic Resolution Selection for Edge Detection Using Genetic Programming. 810-821 - Syed Saud Naqvi, Will N. Browne, Christopher Hollitt:
Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency. 822-834 - Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell:
Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions. 835-846 - Yuyu Liang, Mengjie Zhang, Will N. Browne:
Image Segmentation: A Survey of Methods Based on Evolutionary Computation. 847-859
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