Research of Pareto-Based Multi-Objective Optimization for Multi-Vehicle Assignment Problem Based on MOPSO

被引：0
|
作者：
Ai Di-Ming [1 ]
Zhang Zhe [1 ]
Zhang Rui [1 ]
Pan Feng [1 ]
机构：
[1] Beijing Inst Technol, Sch Automat, Beijing Special Vehicles Res Inst, Beijing 100081, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, PT II | 2011年 / 6729卷
关键词：
Multi-objective vehicle assignment problem; Pareto; Multi-objective Particle swarm optimizer (MOPSO);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The purpose of a multi-vehicle assignment problem is to allocate vehicles to complete various missions at different destinations, meanwhile it is required to satisfy all constrains and optimize overall criteria. Combined with MOPSO algorithm, a Pareto-based multi-objective model is proposed, which includes not only the time-cost tradeoff, but also a "Constraint-First-Objective-Next" strategy which handles constraints as an additional objective. Numerical experimental results illustrate that it can efficiently achieve the Pareto front and demonstrate the effectiveness.
引用
收藏
页码：10 / 16
页数：7
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