Improved GeneticSimulated Annealing Algorithms andits Applications in Synthesis of Heat Exchanger Network
Haipeng Fang, Pingjing Yao · Yingyong jichu yu gongcheng kexue xuebao · 1998
n this paper, the traditional genetic algorithm is improved through introduction of similar degree and life time, an effective combination of simulated annealing and genetic algorithm is developed. The numerical results show that it will converge to the global optimum more quickly with higher probability. For the synthesis problem of large scale heat exchange network, which is hard to be solved by traditional optimization algorithm, satisfactory results have been obtained by means of this method.