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The combined effect of optimal control and swarm intelligence on optimization of cancer chemotherapy.

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第一作者： Omar,Shindi

第一单位： Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia.

作者： Omar,Shindi ^[1] ; Jeevan,Kanesan ^[2] ; Graham,Kendall ^[3] ; Anand,Ramanathan ^[4]

作者单位： Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia. ^[1] Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia. Electronic address: jievan@um.edu.my. ^[2] School of Computer Science, University of Nottingham, Malaysia Campus, 43500 Semenyih, Malaysia. Electronic address: graham.kendall@nottingham.edu.my. ^[3] Department of Oral & Maxillofacial Clinical Sciences, Oral Cancer Research - Coordinating Centre, Faculty of Dentistry, University of Malaya, 50603, Kuala Lumpur, Malaysia. Electronic address: drranand@um.edu.my. ^[4]

关键词 Cancer chemotherapy Constrained multi-objective optimization Evolutionary algorithms Hybrid optimal control Multi objective optimization Particle swarm optimization

医学主题词算法(Algorithms);抗肿瘤药(Antineoplastic Agents);剂量效应关系, 药物(Dose-Response Relationship, Drug);人类(Humans);模型, 统计学(Models, Statistical);肿瘤(Neoplasms);软件(Software)

DOI 10.1016/j.cmpb.2020.105327

PMID 31978808

发布时间 2021-03-24

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准确一般字义偏差语意偏离译文作用小提交