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2018 | OriginalPaper | Chapter

A Smart Initialization on the Swarm Intelligence Based Method for Efficient Search of Optimal Minimum Energy Design

Authors : Tun-Chieh Hsu, Frederick Kin Hing Phoa

Published in: Advances in Swarm Intelligence

Publisher: Springer International Publishing

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Abstract

Swarm intelligence is well-known to enjoy fast convergence towards optimum. Recently, the Swarm Intelligence Based (SIB) method was proposed to deal with discrete optimization problems in mathematics and statistics. Whether it was the traditional framework or the augmented version, the initialization of the particles were always done randomly. In this work, we introduced a smart initialization procedure to improve the computational efficiency of the SIB method. We demonstrated the use of the SIB method, initialized by both the uniform pool (standard procedure) and the MCMC pool (smart initialization), on the search of optimal minimum energy designs, which were a new class of designs for computer experiments that considered uneven or functional gradients on the search domain. We compared two initialization approaches and showed that the SIB method with smart initialization could save much experimental resources and obtain better optimal solutions within equivalent number of iterations or time.

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Title: A Smart Initialization on the Swarm Intelligence Based Method for Efficient Search of Optimal Minimum Energy Design
Authors: Tun-Chieh Hsu
Frederick Kin Hing Phoa
Publisher: Springer International Publishing
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_9

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