Titlebook: Biologically-Inspired Collaborative Computing; IFIP 20th World Comp Mike Hinchey,Anastasia Pagnoni,Hartmut Schmeck Conference proceedings 2

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Robin Willems,Dirk Lecluse,J. P. Kruthof convergence and robustness. To that end, we experimentally compare a standard genetic algorithm to several multi-objective optimizers on a set of test problems. The results show that, for more complex test problems, the multi-objective optimizers TSPEA2 and NSGAII indeed outperform the single-obj

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978-1-4419-3502-1IFIP International Federation for Information Processing 2008

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IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/b/image/187532.jpg

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1868-4238 cation.The contributors in this volume are world-renowned ex“Look deep into nature and you will understand everything better.” advised Albert Einstein. In recent years, the research communities in Computer Science, Engineering, and other disciplines have taken this message to heart, and a relatively

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Studies in Fuzziness and Soft Computingrm of micro-robots. Experiments have been made in simulation to achieve Collision Avoidance. The model is shown to be capable to generate the desired behavior and we present experiments for adjusting the parameters of the evolutionary optimization.

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