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

页码：10 / 16

页数：7

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