文献类型：期刊文献

英文题名：Biogeography-based optimization for identifying promising compounds in chemical process

作者：Ma, Haiping[1,2];Fei, Minrui[1];Yang, Zhile[3]

机构：[1]Shaoxing Univ, Dept Elect Engn, Shaoxing, Zhejiang, Peoples R China;[2]Shanghai Univ, Shanghai Key Lab Power Stn Automat Technol, Sch Mechatron Engn & Automat, Shanghai, Peoples R China;[3]Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast, Antrim, North Ireland

年份：2016

卷号：174

起止页码：494

外文期刊名：NEUROCOMPUTING

收录：SCI-EXPANDED(收录号：WOS:000367276700049)、、EI(收录号：20153701259261)、Scopus(收录号：2-s2.0-84940988391)、WOS

基金：This work was supported by the National Natural Science Foundation of China under Grant no. 61305078 and 61074032, Key Project of Science and Technology Commission of Shanghai Municipality under Grant no. 14JC1402200, and the Shaoxing City Public Technology Applied Research Project under Grant no. 2013B70004.

语种：英文

外文关键词：Promising compound; Chemical process; Biogeography-based optimization; Evolutionary algorithms

外文摘要：Identifying promising compounds from a vast collection of potential compounds is an important and yet challenging problem in chemical engineering. An efficient sdlution to this problem will help to reduce the expenditure at the early states of chemical process. In an attempt to solve this problem, the industry is looking for predictive tools that would be useful in testing optimal properties of a candidate compound earlier. This paper explores the application of biogeography-based optimization (BBO) to achieve such predictive work. BBO is a new evolutionary algorithm that is based on the science of biogeography. BBO is a population-based search method that achieves information sharing by species migration. The performance of BBO is compared with genetic algorithm (GA) and particle swarm optimization (PSO) on a set of test functions and the cases of identifying promising compounds. Simulation results show that BBO is a competitive method in determining an optimal solution to the optimization of promising compounds. (C) 2015 Elsevier B.V. All rights reserved.