Cooperative enhanced scatter search with opposition-based learning schemes for parameter estimation in high dimensional kinetic models of biological systems

作者：

Highlights：

• A cooperative metaheuristic method applied to the parameter estimation is proposed.

• An improved sequential metaheuristic is run in parallel using multicores.

• A new cooperative mechanism to exchange information is introduced.

• The results present promising performance compared with other methods.

摘要

•A cooperative metaheuristic method applied to the parameter estimation is proposed.•An improved sequential metaheuristic is run in parallel using multicores.•A new cooperative mechanism to exchange information is introduced.•The results present promising performance compared with other methods.

论文关键词：Parameter estimation,Metabolic engineering,Kinetic model,Opposition-based learning,Global optimization,Cooperative metaheuristic

论文评审过程：Received 17 January 2018, Revised 8 September 2018, Accepted 8 September 2018, Available online 11 September 2018, Version of Record 15 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.020