A test problem generator for non-stationary environments 论文

2003引用 275
Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms ResearchGreenhouse Technology and Climate Control

详细信息

发表日期
2003-01-20
发表年份
2003

关键词

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms ResearchGreenhouse Technology and Climate Control

摘要

There has recently been a growing interest in the study of EA performance in changing environments. Studies of EAs in dynamic environments, however, have used only a few limited fitness functions. As has been shown in the study of EAs in static environments, comparative studies of the effectiveness of various EAs in dynamic environments will require more rigorous and standardized test functions. These functions should have a simple representation mechanism, so that a wide range of complexity and sophisticated dynamics can be unambiguously described in an elementary manner. The paper proposes an initial test function generator with these characteristics to facilitate further understanding of the effectiveness of different EA implementations in different types of dynamic environments.