Nonstationary function optimization using genetic algorithm with dominance and diploidy
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Adaption to a Changing Environment by Means of the Thermodynamical Genetic Algorithm
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
A Genetic Algorithm with Variable Range of Local Search for Tracking Changing Environments
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
A Preliminary Investigation into Directed Mutations in Evolutionary Algorithms
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
An Evolutionary Approach For Time Dependant Optimization
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
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The article at hand identifies two kinds of problem difficulty in dynamic environments: discontinuities in the fitness landscape caused by moving optima and the discrepancy between tracking and optimization. These problem difficulties are supported by theoretical considerations and experimental findings. Various methods of resolution are discussed and a new adaptation method, namely the correction of strategy variables, is proposed.