Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Properties of fitness functions and search landscapes
Theoretical aspects of evolutionary computing
Evolutionary Optimization in Dynamic Environments
Evolutionary Optimization in Dynamic Environments
Fitness landscapes and evolvability
Evolutionary Computation
An Analysis of Dynamic Severity and Population Size
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Designing Evolutionary Algorithms for Dynamic Environments
Designing Evolutionary Algorithms for Dynamic Environments
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Evolutionary Computation
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
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Spatio–temporal fitness landscapes that are constructed from Coupled Map Lattices (CML) are introduced. These landscapes are analyzed in terms of modality and ruggedness. Based on this analysis, we study the relationship between landscape measures and the performance of an evolutionary algorithm used to solve the dynamic optimization problem.