Restart based Collective Information Powered Differential Evolution for Solving the 100-Digit Challenge on Single Objective Numerical Optimization

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publication2019 IEEE Congress on Evolutionary Computation (CEC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages14-18
ISBN (Electronic)9781728121536
ISBN (Print)9781728121543
Publication statusPublished - Jun 2019

Publication series

NameIEEE Congress on Evolutionary Computation (CEC)

Conference

Title2019 IEEE Congress on Evolutionary Computation, CEC 2019
PlaceNew Zealand
CityWellington
Period10 - 13 June 2019

Abstract

Different from the classic differential evolution (DE) and many of its variants, collective information powered DE (CIPDE) is characterized by the utilization of collective information of population in the mutation and crossover processes of DE. This paper proposes a restart mechanism for CIPDE, to improve its robustness for solving the 100-digit challenge on single objective numerical optimization. Restart based CIPDE (rCIPDE) restarts the population when the unsuccessful update of the population exceeds a threshold value. Simulations on the challenge show that the restart mechanism enhances the performance on five out of the total 10 benchmark functions. According to the competition rule, rCIPDE achieves a total score of 85 (10 marks on each of F1-F7 and F10, 2 marks on F8 and 3 marks on F9).

Research Area(s)

  • 100-digit challenge, collective information, differential evolution, restart

Citation Format(s)

Restart based Collective Information Powered Differential Evolution for Solving the 100-Digit Challenge on Single Objective Numerical Optimization. / Zhang, Sheng Xin; Shing Chan, Wing; Tang, Kit Sang; Yong Zheng, Shao.

2019 IEEE Congress on Evolutionary Computation (CEC). Institute of Electrical and Electronics Engineers Inc., 2019. p. 14-18 8790279 (IEEE Congress on Evolutionary Computation (CEC)).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)