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This paper proposes a new hybrid ICA–PSO algorithm designed to solve mono-objective and multi-objective problems. This continuous optimization algorithm combines an imperialist competitive algorithm (ICA) and a particle swarm optimization (PSO) to improve the exploration ability of ICA. Moreover, ICA–PSO employs the crowding distance to maintain diversity in the Pareto front found by the algorithm...
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