Comparative Study on Recent Development of Heuristic Optimization Methods

Van Oanh Sai, Chin Shiuh Shieh, Yuh Chung Lin, Mong Fong Horng, Trong The Nguyen, Quang Duy Le, Jung Yi Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problems and became very popular such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Recently, many new metaheuristic algorithms were proposed, but the performance of these algorithms in solving noisy non-linear optimization problems when compared with popular methods still need more of verifications. In this context, two popular algorithms called GA and PSO will be compared with some recent metaheuristic algorithms such as Grey Wolf Optimizer, Firefly Algorithm, and Brain Storm Optimization algorithm in finding optimal solutions of noisy non-linear optimization problems. The results will be compared in terms of accuracy of the best solutions found and the execution time.

Original languageEnglish
Title of host publicationProceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016
EditorsPei-Wei Tsai, Junzo Watada, Naoyuki Kubota
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages68-71
Number of pages4
ISBN (Electronic)9781509010936
DOIs
Publication statusPublished - 2017 Aug 10
Event3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016 - Matsue, Shimane, Japan
Duration: 2016 May 202016 May 22

Publication series

NameProceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016

Other

Other3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016
CountryJapan
CityMatsue, Shimane
Period16-05-2016-05-22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management
  • Instrumentation
  • Information Systems

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