A Novel Cultural Algorithm and Its Application to the Constrained Optimization in Ammonia Synthesis
A novel cultural differential evolution algorithm with multiple populations (MCDE) is proposed. The single individual in each population is affected by the situational and normative knowledge from belief space simultaneously. The populations communicate with each other following a rule of knowledge exchange, which helps to enhance the search rate of evolution. The concept of culture fusion is introduced to develop an adaptive mechanism of preserving the population diversity. The mechanism ensures that populations are diverse along the whole evolution and excellent candidate solutions are not rejected. The performance of MCDE algorithm is validated by typical constrained optimization problems. Finally, MCDE is applied to maximizing the net value of ammonia in an ammonia synthesis loop. The results indicate that the proposed algorithm has the potential to be used in other problems.
Cultural algorithm multi-population diversity preservation constrained optimization ammonia synthesis
Wei Xu Lingbo Zhang Xingsheng Gu
Research Institute of Automation, East China University of Science and Technology,200237 Shanghai, China
国际会议
无锡
英文
52-58
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）