A multi-objective memetic algorithm based on locality-sensitive hashing for one-to-many-to-one dynamic pickup-and-delivery problem

This paper presents an early attempt to solve one-to-many-to-one dynamic pickup-and-delivery problem (DPDP) by proposing a multi-objective memetic algorithm called LSH-MOMA, which is a synergy of multi-objective evolutionary algorithm and locality-sensitive hashing (LSH) based local search. Three ob...

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Vydané v:	Information sciences Ročník 329; s. 73 - 89
Hlavní autori:	Zhu, Zexuan, Xiao, Jun, He, Shan, Ji, Zhen, Sun, Yiwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.02.2016
Predmet:	Algorithms Benchmarking Dynamic pickup and delivery problem Dynamics Evolutionary Locality-sensitive hashing Memetic algorithm Multi-objective evolutionary algorithm Optimization Rectification Searching Workload Memetic algorithm Multi-objective evolutionary algorithm Locality-sensitive hashing Dynamic pickup and delivery problem
ISSN:	0020-0255, 1872-6291
On-line prístup:	Získať plný text
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