Triple and quadruple comparison-based interactive differential evolution and differential evolution

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

19 被引用数 (Scopus)

抄録

We propose a triple comparison and a quadruple comparison based mechanism for enhancing differential evolution (DE), especially for interactive DE (IDE) where the method can be used to reduce IDE user fatigue. Besides the target vector and trial vector from normal DE, opposition vectors generated by opposition-based learning are used to determine offspring, and the best vector from among these three or four vectors becomes offspring for the next generation. We evaluate the proposed methods by comparing them with conventional IDE and conventional opposition-based IDE using a simulated IDE modeled using a four dimensional Gaussian mixture model. We also evaluate them in DE using 24 benchmark functions. The experiments show that our proposed methods can enhance IDE and DE search efficiently according to several evaluation indices. These include the converged fitness values after the same number of generations, converged fitness values after the same number of fitness calculations, fitness calculation cost, convergence success rates and acceleration rates.

本文言語英語
ホスト出版物のタイトルFOGA 2013 - Proceedings of the 12th ACM Workshop on Foundations of Genetic Algorithms
ページ173-182
ページ数10
DOI
出版ステータス出版済み - 4 15 2013
イベント12th ACM Workshop on Foundations of Genetic Algorithms, FOGA 2013 - Adelaide, SA, オーストラリア
継続期間: 1 16 20131 20 2013

出版物シリーズ

名前FOGA 2013 - Proceedings of the 12th ACM Workshop on Foundations of Genetic Algorithms

その他

その他12th ACM Workshop on Foundations of Genetic Algorithms, FOGA 2013
Countryオーストラリア
CityAdelaide, SA
Period1/16/131/20/13

All Science Journal Classification (ASJC) codes

  • Discrete Mathematics and Combinatorics

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