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Semi-Markov Model of a Swarm Functioning Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Hybrid Evolutionary Algorithm for Combined Road-Rail Emergency Transportation Planning

Authors : Zhong-Yu Rong, Min-Xia Zhang, Yi-Chen Du, Yu-Jun Zheng

Published in: Advances in Swarm Intelligence

Publisher: Springer International Publishing

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Abstract

As one of the most critical components in disaster relief operations, emergency transportation planning often involves huge amount of relief goods, complex hybrid transportation networks, and complex constraints. In this paper, we present a new emergency transportation planning model which combines rail and road transportation and supports transfer between the two modes. For solving the problem, we propose a novel hybrid algorithm that integrates two meta-heuristics, water wave optimization (WWO) and particle swarm optimization (PSO), whose operators are elaborately adapted to effectively balance the exploration and exploitation of the search space. Experimental results show that the performance of our method is better than a number of well-known heuristic algorithms on test instances.

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Metadata
Title
A Hybrid Evolutionary Algorithm for Combined Road-Rail Emergency Transportation Planning
Authors
Zhong-Yu Rong
Min-Xia Zhang
Yi-Chen Du
Yu-Jun Zheng
Copyright Year
2018
Book
Advances in Swarm Intelligence

Print ISBN: 978-3-319-93814-1

Electronic ISBN: 978-3-319-93815-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-93815-8_44

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