An enhanced scatter search with combined opposition-based learning for parameter estimation in large-scale kinetic models of biochemical systems

• 主要な著者: Remli, M. A., Deris, S., Mohamad, M. S., Omatu, S., Corchado, J. M.
• フォーマット: 論文
• 出版事項: Elsevier Ltd 2017
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.utm.my/id/eprint/76131/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018470023&doi=10.1016%2fj.engappai.2017.04.004&partnerID=40&md5=d7ff680cd6400eff2697cdf90769bed1

An enhanced scatter search (eSS) with combined opposition-based learning algorithm is proposed to solve large-scale parameter estimation in kinetic models of biochemical systems. The proposed algorithm is an extension of eSS with three important improvements in terms of: reference set (RefSet) forma...