Differential Evolution Multi-objective Optimisation for Chemotherapy Treatment Planning

被引：1
|
作者：
Szlachcic, Ewa [1 ]
Klempous, Ryszard [1 ]
机构：
[1] Wroclaw Univ Technol, Dept Control Syst & Mechatron, Ul Janiszewskiego 11-17, PL-51570 Wroclaw, Poland
来源：
COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2015 | 2015年 / 9520卷
关键词：
Differential evolution meta-heuristics; Multi-objective approach; Optimisation algorithm; Chemotherapy dose schedules; ALGORITHM;
D O I：
10.1007/978-3-319-27340-2_59
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Differential evolution is currently one of the most popular population based stochastic meta-heuristics. In the paper, we propose an extension of the Differential Evolution algorithm for multi-objective optimization problem with constraints of chemotherapy scheduling for a medical treatment. The differential evolution idea is used with some significant improvements concerning the DE strategies and parameters adaptation. The numerical results show that the proposed algorithm is stable and robust in handling medical applications especially for a chemotherapy planning process.
引用
收藏
页码：471 / 478
页数：8
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