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ORCIDEvolutionary Computation in Dynamic and Uncertain Environments 2007
- Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence 51, Springer 2007, ISBN 978-3-540-49772-1 - Shengxiang Yang
:
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments. 3-28 - Tim Blackwell:
Particle Swarm Optimization in Dynamic Environments. 29-49 - Lutz Schönemann:
Evolution Strategies in Dynamic Environments. 51-77 - Sanyou Zeng, Hui Shi, Lishan Kang, Lixin Ding:
Orthogonal Dynamic Hill Climbing Algorithm: ODHC. 79-104 - Renato Tinós, Shengxiang Yang:
Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments. 105-127 - Peter A. N. Bosman:
Learning and Anticipation in Online Dynamic Optimization. 129-152 - Hai Huong Dam, Chris Lokan, Hussein A. Abbass:
Evolutionary Online Data Mining: An Investigation in a Dynamic Environment. 153-178 - Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac:
Adaptive Business Intelligence: Three Case Studies. 179-196 - Frederico Paiva Quintão, Fabíola Guerra Nakamura, Geraldo Robson Mateus:
Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks. 197-222 - Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. 225-250 - Wenbin Song:
Evolutionary Shape Optimization Using Gaussian Processes. 251-267 - Margarita Reyes Sierra, Carlos A. Coello Coello:
A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer. 269-296 - Kalyanmoy Deb, Pawan K. S. Nain:
An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks. 297-322 - Yolanda Mack, Tushar Goel, Wei Shyy, Raphael T. Haftka:
Surrogate Model-Based Optimization Framework: A Case Study in Aerospace Design. 323-342 - Ferrante Neri, Raino A. E. Mäkinen:
Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation. 345-369 - Kagan Tumer, Adrian K. Agogino:
Evolving Multi Rover Systems in Dynamic and Noisy Environments. 371-387 - Yoel Tenne, Steven William Armfield:
A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions. 389-415 - Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama:
Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem. 417-434 - Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin:
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. 437-456 - Chi Keong Goh, Kay Chen Tan:
Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. 457-478 - Jianjun Hu, Shaobo Li, Erik D. Goodman:
Evolutionary Robust Design of Analog Filters Using Genetic Programming. 479-496 - Hisashi Handa, Lee Chapman, Xin Yao:
Robust Salting Route Optimization Using Evolutionary Algorithms. 497-517 - Zhun Fan, Jiachuan Wang, Min Wen, Erik D. Goodman, Ronald C. Rosenberg:
An Evolutionary Approach For Robust Layout Synthesis of MEMS. 519-542 - Claudio M. Rocco Sanseverino, Daniel E. Salazar Aponte:
A Hybrid Approach Based on Evolutionary Strategies and Interval Arithmetic to Perform Robust Designs. 543-564 - Carlos Barrico, Carlos Henggeler Antunes:
An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models. 565-582 - Qing Ling, Gang Wu, Qiuping Wang:
Deterministic Robust Optimal Design Based on Standard Crowding Genetic Algorithm. 583-598
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