复杂工程问题全局优化算法研究

Study on Global Optimization Algorithms for Complex Engineering Problem

分析了遗传算法、模拟退火算法与神经网络等近年来广泛应用于复杂工程问题优化的全局优化算法各自的特点与其全局优化能力 ,指出如何针对其特点进行改进以达到更佳效果 ,深入研究了复杂工程问题优化的关键技术———目标函数与约束条件建立方法 .最后 ,展望了全局优化算法与复杂工程问题优化技术的发展趋势 .

GA, SA and NN are extensively used on the global optimization of complex engineering problems. Their characteristics and abilities of global optimization are introduced in the paper. It also discusses how to improve their effect according to t their advantages and faults and analyses how to deal with the object function and constraints—the key techniques of the complex engineering problem optimization. Finally, the future developments of the global optimization algorithm and the optimization design of complex engineering problems are proposed.