标题： 分段线性拓扑、进化算法和优化问题 显示英文标题

标题： Piecewise Linear Topology, Evolutionary Algorithms, and Optimization Problems

摘要： 通过模式理论、马尔可夫链和统计力学来解释进化算法（EAs）的工作原理的方法已经取得了逐步的成功，但每种方法都因缺乏全局视角而受到限制。 我们证明，将研究扩展到拓扑空间可以增进我们对进化算法为何有效的理解。 显示英文摘要

摘要： Schemata theory, Markov chains, and statistical mechanics have been used to explain how evolutionary algorithms (EAs) work. Incremental success has been achieved with all of these methods, but each has been stymied by limitations related to its less-than-global view. We show that moving the investigation into topological space improves our understanding of why EAs work.