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
Evolutionary Optimization in Dynamic Environments
Evolutionary Optimization in Dynamic Environments
Journal of Global Optimization
Genetic Algorithms for Tracking Changing Environments
Proceedings of the 5th International Conference on Genetic Algorithms
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Experimental analysis of binary differential evolution in dynamic environments
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Genetic algorithms with memory-and elitism-based immigrants in dynamic environments
Evolutionary Computation
Fast Multi-Swarm Optimization for Dynamic Optimization Problems
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 07
Dynamic optimization using self-adaptive differential evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Cellular PSO: A PSO for Dynamic Environments
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
Locating and tracking multiple dynamic optima by a particle swarm model using speciation
IEEE Transactions on Evolutionary Computation
Multiswarms, exclusion, and anti-convergence in dynamic environments
IEEE Transactions on Evolutionary Computation
Alpinist CellularDE: a cellular based optimization algorithm for dynamic environments
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Differential evolution for dynamic environments with unknown numbers of optima
Journal of Global Optimization
Adaptive cooperative particle swarm optimizer
Applied Intelligence
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In real life we are often confronted with dynamic optimization problems whose optima change over time. These problems challenge traditional optimization methods as well as conventional evolutionary optimization algorithms. In this paper, we propose an evolutionary model that combines the differential evolution algorithm with cellular automata to address dynamic optimization problems. In the proposed model, called CellularDE, a cellular automaton partitions the search space into cells. Individuals in each cell, which implicitly create a subpopulation, are evolved by the differential evolution algorithm to find the local optimum in the cell neighborhood. Experimental results on the moving peaks benchmark show that CellularDE outperforms DynDE, cellular PSO, FMSO, and mQSO in most tested dynamic environments.