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Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction Read chapter Read first chapter

2011 | OriginalPaper | Chapter

14. A Simulation Optimisation Framework for Container Terminal Layout Design

Authors : Loo Hay Lee, Ek Peng Chew, Kee Hui Chua, Zhuo Sun, Lu Zhen

Published in: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

Publisher: Springer London

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Abstract

Port designers are facing challenges in choosing appropriate terminal layouts to maximise operational efficiencies. This study aims to address this problem by providing a simulation optimisation framework for container terminal layout design. This framework consists of three main modules which are automated layout generator (ALG), the multi-objective optimal computing budget allocation (MOCBA) algorithm and the genetic algorithm (GA). ALG is to automatically generate a simulation model for a set of given design parameters; MOCBA is to intelligently determine the simulation replications to different designs for identifying promising designs; GA is to help generate new design parameters for optimisation. Numerical examples are used to demonstrate the applicability of this framework.

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Metadata
Title
A Simulation Optimisation Framework for Container Terminal Layout Design
Authors
Loo Hay Lee
Ek Peng Chew
Kee Hui Chua
Zhuo Sun
Lu Zhen
Copyright Year
2011
Publisher
Springer London
Book
Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

Print ISBN: 978-0-85729-617-7

Electronic ISBN: 978-0-85729-652-8

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-0-85729-652-8_14

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