基于智能体的捕食-食饵交互协同进化系统在多目标优化问题中的应用

2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making Pub Date : 2007-04-01 DOI:10.1109/MCDM.2007.369104

Rafał Dreżewski, Leszek Siwik

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引用次数: 9

摘要

在进化算法中实现协同进化的相互作用，增加了种群多样性和物种形成。多智能体系统协同进化的一般模型允许建模和实现基于智能体的协同进化系统，其中许多物种和性别可能存在并相互作用。本文提出了一个典型的具有捕食-食饵机制的基于智能体的系统。各种多目标测试问题的实验结果对本文进行了总结

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The Application of Agent-Based Co-Evolutionary System with Predator-Prey Interactions to Solving Multi-Objective Optimization Problems

The realization of co- evolutionary interactions in evolutionary algorithms results in increased population diversity and speciation. General model of co-evolution in multi-agent system allows for modeling and realization of agent-based co-evolutionary systems in which many species and sexes may exist and interact. In this paper one exemplary agent-based system with predator-prey mechanism is presented. The results from experiments with various multi-objective test problems conclude the paper

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2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making

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