Synopsis
From the Contents: Performance Analysis of Dynamic Optimization Algorithms.- Quantitative Performance Measures for Dynamic Optimization Problems.- Dynamic Function Optimization: The Moving Peaks Benchmark.- SRCS: a technique for comparing multiple algorithms under several factors in Dynamic Optimization Problems.- Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis.- Two Approaches for Single and Multi-Objective Dynamic Optimization.- Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima.- Dynamic multi-objective optimization using PSO.
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