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Lecture Notes in Computer Science
Backtracking search algorithm is a novel population-based stochastic technique. This paper proposes an improved backtracking search algorithm for constrained optimization problems. The proposed algorithm is combined with differential evolution algorithm and the breeder genetic algorithm mutation operator. The differential evolution algorithm is used to accelerate convergence at later iteration process, and the breeder genetic algorithm mutation operator is employed for the algorithm to improvedoi:10.1007/978-3-319-12096-6_20 fatcat:iqfh3gryjne6riawljxx4s7zle