| 摘要: |
| 遗传算法基于适应度的进化模式没有考虑进化的外部环境和进化成分之间的关系,这是协同进化研究的内容.借鉴生态学对个体生存环境和种群竞争的认识,构造了一种基于生态种群竞争模型的新的协同进化模式.模拟实验表明,采用该模式的改进遗传算法在改善未成熟收敛和收敛速度两方面具有良好的性能. |
| 关键词: 遗传算法 生态环境 种群密度 生态种群竞争 未成熟收敛 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(69971022);中国科学技术大学青年基金资助项目 |
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| A Co-Evolution Pattern Based on Ecological Population Competition Model |
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CAO Xian-bin,LUO Wen-jian,WANG Xu-fa
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| Abstract: |
| Individual evolution is based on its fitness in Genetic Algorithm, but its living environment and relationship with other parts aren't involved. In this paper, enlightened by the knowledge of ecological environment and population competition, a new co-evolution model is proposed, which is based on Ecological Population Competition Model. The experiment results show the high efficiency of the improved Genetic Algorithms based on this model in solving premature convergence and accelerating the convergence. |
| Key words: genetic algorithm ecological environment population density ecological population competition premature convergence |
