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Table of Contents
Benchmark problems and performance measures
Tracking moving optima
Dynamic multiobjective optimization
Adaptation, learning, and anticipation
Handling noisy fitness functions
Using fitness approximations
Searching for robust optimal solutions
Comparative studies
Hybrid approaches
Theoretical analysis
Real-world applications.
Tracking moving optima
Dynamic multiobjective optimization
Adaptation, learning, and anticipation
Handling noisy fitness functions
Using fitness approximations
Searching for robust optimal solutions
Comparative studies
Hybrid approaches
Theoretical analysis
Real-world applications.