Water wave optimization: A new nature-inspired metaheuristic

Nature-inspired computing has been a hot topic in scientific and engineering fields in recent years. Inspired by the shallow water wave theory, the paper presents a novel metaheuristic method, named water wave optimization (WWO), for global optimization problems. We show how the beautiful phenomena...

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Bibliographic Details
Published in:	Computers & operations research Vol. 55; pp. 1 - 11
Main Author:	Zheng, Yu-Jun
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.03.2015 Pergamon Press Inc
Subjects:	Algorithms Computation Heuristic Heuristic methods High speed rail High-speed train scheduling Metaheuristic method Operations research Optimization Optimization algorithms Scheduling algorithms Searching Studies Trains Water wave optimization (WWO) Water waves Wave propagation Wave-current-bottom interactions China Water wave optimization (WWO) Wave-current-bottom interactions High-speed train scheduling Metaheuristic method Optimization
ISSN:	0305-0548, 1873-765X, 0305-0548
Online Access:	Get full text
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