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提出将模拟退火、演化策略和局部搜索算法相结合的混合演化算法 ,以解决函数优化与组合优化问题。该算法克服了上述三种算法在应用中的不足 ,并具有搜索效率高、性能稳定的特点。具体算例验证了该算法的有效性
A hybrid evolutionary algorithm that combines simulated annealing, evolutionary strategy and local search algorithm is proposed to solve the problem of function optimization and combinatorial optimization. The algorithm overcomes the shortcomings of the above three algorithms in application, and has the characteristics of high search efficiency and stable performance. The concrete example verifies the validity of the algorithm