Fitness function for finding out robust solutions on time-varying functions

Evolutionary Computations in dynamic/uncertain environments have attracted much attention. Studies regarding this research subjects can be classified into four categories: Noise, Robustness, Fitness approximation, and Time-Varying function. In research on Time-Varying function, the tracking property over changes of fitness landscape has been broadly and deeply researched so far. In this paper, instead of tracking new peaks, robust solution to Time-Varying functions is introduced. Moreover, two weighted fitness functions, Exponential Weight and Linear Weight, are proposed. Experiments on modified Branke's benchmark problems on TimeVarying function reveal the effectiveness of the weighted approaches. Categories and Subject Descriptors

• Type: Conference
• Year: 2006
• Where: GECCO
• Authors: Hisashi Handa
• Keywords: Fitness Approximation, GECCO 2006, Optimization, Time-varying Functions, Weighted Fitness Functions