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2014 | OriginalPaper | Chapter

C-PESA: An Improved Comentropy-Based PESA Algorithm

Authors : Kun Wang, Linlin Wang, Yuhua Zhang

Published in: Unifying Electrical Engineering and Electronics Engineering

Publisher: Springer New York

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Abstract

To solve the increasing complexity with the growth of solution sets number in PESA, we present a comentropy-based PESA algorithm (C-PESA), which is an evolutionary algorithm of multi-objective optimization. In C-PESA, the gradual development and maturity of the solution sets can be observed with the continuous calculation of entropy values. This determines whether to stop the optimization process, and accordingly simplifies the run-time complexity of the algorithm to a certain degree. Simulation results show that the calculation amount of C-PESA increases linearly with the increasing number of population, and the efficiency of evolutionary algorithm also improves.

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Metadata
Title
C-PESA: An Improved Comentropy-Based PESA Algorithm
Authors
Kun Wang
Linlin Wang
Yuhua Zhang
Copyright Year
2014
Publisher
Springer New York
Book
Unifying Electrical Engineering and Electronics Engineering

Print ISBN: 978-1-4614-4980-5

Electronic ISBN: 978-1-4614-4981-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4614-4981-2_223