Global optimization by Darwin and Boltzmann mixed strategy

This paper presents a Darwin and Boltzmann mixed strategy to solve the glob al optimization problems. The algorithm is based on the integration of the Darwin strategy and the Boltzmann annealing strategy, it is a hybrid of the Stochastic Evolution (SE) and the Simulated Annealing (SA). The proposed a lgorithm is proved to converge asymptotically to the global optimal solutio ns and its approximation implementation has shown to be polynomial in compl exity. Experimental results show that the proposed algorithm is more effici ent than the SA algorithm and is comparable to other methods on six well-kn own test problems.