Impact of Individuals’ Fitness Ezpressions on Interactive Genetic Algorithms’ Performances
Interactive genetic algorithms involve a user to evaluate an individuals fitness. So far, there have been many expressions of an individuals fitness, but no mature result of their influences on IGAs performances has come out. We review 5 representative fitness expressions in this paper, i.e. precise fitness, discrete fitness, interval fitness, fuzzy fitness, as well as the fitness not directly assigned by the user. Establishing a RGB color evolutionary system to collect data and based on many statistical methods, we analyze the impact of the above fitness expressions on interactive genetic algorithms performances in detail, and make a research on the users satisfaction degree. The achievements in this paper provide a foundation for choosing an appropriate fitness expression in real-world applications.
Genetic algorithm Interactive genetic algorithm Fitness Ezpression
Dun-wei Gong Jie Yuan
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2415-2420
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）