Biogeography-based optimization for identifying promising compounds in chemical process
作者： Haiping Ma , Minrui Fei , Zhile Yang
DOI: 10.1016/J.NEUCOM.2015.05.125
关键词:
摘要: Identifying promising compounds from a vast collection of potential is an important and yet challenging problem in chemical engineering. An efficient solution to this will help reduce the expenditure at early states process. In attempt solve problem, industry looking for predictive tools that would be useful testing optimal properties candidate compound earlier. This paper explores application biogeography-based optimization (BBO) achieve such work. BBO new evolutionary algorithm based on science biogeography. population-based search method achieves information sharing by species migration. The performance compared with genetic (GA) particle swarm (PSO) set test functions cases identifying compounds. Simulation results show competitive determining
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