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{{Short description|Two or more species influencing each other's evolution}}
{{Short description|Two or more species influencing each other's evolution}}
Coevolution is primarily a biological concept, but has been applied to other fields by analogy.
Coevolution is primarily a biological concept, but has been applied to other fields by analogy.
共同演化是一个生物学的概念，但已经类推至其他领域。
===In algorithms===
===In algorithms===
Coevolutionary algorithms are used for generating artificial life as well as for optimization, game learning and machine learning.Potter M. and K. De Jong, Evolving Complex Structures via Cooperative Coevolution, Fourth Annual Conference on Evolutionary Programming, San Diego, CA, 1995.Potter M., The Design and Computational Model of Cooperative Coevolution, PhD thesis, George Mason University, Fairfax, Virginia, 1997.Weigand P., Liles W., De Jong K., An empirical analysis of collaboration methods in cooperative coevolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001.Weigand P., An Analysis of Cooperative Coevolutionary Algorithms, PhD thesis, George Mason University, Fairfax, Virginia, 2003. Daniel Hillis added "co-evolving parasites" to prevent an optimization procedure from becoming stuck at local maxima. Karl Sims coevolved virtual creatures.
Coevolutionary algorithms are used for generating artificial life as well as for optimization, game learning and machine learning.Potter M. and K. De Jong, Evolving Complex Structures via Cooperative Coevolution, Fourth Annual Conference on Evolutionary Programming, San Diego, CA, 1995.Potter M., The Design and Computational Model of Cooperative Coevolution, PhD thesis, George Mason University, Fairfax, Virginia, 1997.Weigand P., Liles W., De Jong K., An empirical analysis of collaboration methods in cooperative coevolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001.Weigand P., An Analysis of Cooperative Coevolutionary Algorithms, PhD thesis, George Mason University, Fairfax, Virginia, 2003. Daniel Hillis added "co-evolving parasites" to prevent an optimization procedure from becoming stuck at local maxima. Karl Sims coevolved virtual creatures.
协同进化算法已经应用于生成人工生命，以及优化，博弈学习和机器学习等方面。和 k. De Jong，通过合作共同进化进化复杂结构，第四届进化规划年会，圣地亚哥，加利福尼亚州，1995。合作共同进化的设计与计算模型，博士论文，乔治梅森大学，费尔法克斯，弗吉尼亚州，1997。合作共同进化算法中协作方法的实证分析。2001年遗传学和进化计算学会会议论文集。合作共同进化算法分析》 ，博士论文，乔治梅森大学，弗吉尼亚州费尔法克斯，2003年。Daniel Hillis 补充了“共同进化寄生虫”，以防止优化过程陷入局部极大值。卡尔 · 西姆斯共同进化了虚拟生物。
===In architecture===
===In architecture===