Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A New Version of the Price‘s Algorithm for Global Optimization
Journal of Global Optimization
Journal of Global Optimization
Performance Measures for Dynamic Environments
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Nested Partitions Method for Global Optimization
Operations Research
Population set-based global optimization algorithms: some modifications and numerical studies
Computers and Operations Research
Unified particle swarm optimization in dynamic environments
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
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In this paper a global optimization procedure is proposed, which can be related to the framework of the search algorithms based on models of population dynamics. In our approach the admissible set is decomposed into subsets (compartments), in each of which the search is parallelly carried out. As far as the number of born individuals is concerned, a control action is introduced, with the aim of intensifying the search in the most interesting compartments, dynamically identified. The generated individuals are localized in each compartment by exploiting the multidimensional Weyl theorem, which guarantees a dense exploration of the above-mentioned compartments. The procedure is able to deal also with dynamical or stochastic optimization problems. The algorithm performances have been widely tested against two, three, four, and six variables standard test functions. Comparisons with other similar algorithms have been performed with satisfactory results. Promising results have also been obtained in some applications to dynamical and stochastic optimization problems.