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Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces.
This code implements a basic multi-objective optimization algorithm based on Diferential Evolution (DE) algorithm. When one objective is optimized, the standard DE runs; if two or more objectives are optimized, the greedy selection step in DE algorithm is performed using a dominance relation.