关键词: 全局优化, 智能算法, 遗传算法, 序列二次规划, 无约束优化

Abstract: Based on the serial quadratic program method and real-coded genetic algorithm, a hybrid intelligent algorithm for global optimization problems is presented by inserting the serial quadratic program method into real-coded genetic algorithm. As a local search operator, the serial quadratic program method has strong local search ability, whereas genetic algorithms have global convergence. So the hybrid intelligent algorithm is capable of improving the global search ability of the algorithm, as well as reducing the computational burden. Simulation results show that the proposed hybrid algorithm is efficient and effective.

Key words: Global optimization, Intelligent algorithm, Genetic algorithm, Serial quadratic program, Unconstrained optimization