A NOVEL APPROACH BASED ON ELEPHANT HERDING OPTIMIZATION FOR CONSTRAINED OPTIMIZATION PROBLEMS

Huseyin HAKLI

Öz


Many real-world problems can be formulated as an optimization problem and they have some constraints generally. To overcome these constraints, bio-inspired algorithms are adapted to constrained optimization using constraint handling methods and some modifications. In this study, a new approach is developed to solve constrained optimization problems with elephant herding optimization algorithm which is a newly-emerging optimization technique. Besides the basic EHO, two EHO variants (EHO-NoB and GL-EHO) are adapted to constrained optimization with this approach. The well-known thirteen constrained benchmark functions are used to analysis the performances of algorithms. Experimental results show that the GL-EHO has a better performance than the basic EHO and other algorithms. In addition, the results of GL-EHO are comparable level with the result of another EHO variant in the literature.

Anahtar Kelimeler


Elephant herding optimization, Deb’s rules, constrained optimization

Tam Metin:

PDF (English)

Madde Ölçümleri

Ölçüm Çağırılıyor ...

Metrics powered by PLOS ALM

Refback'ler

  • Şu halde refbacks yoktur.


Telif Hakkı (c) 2019 Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Tarayan Veri Tabanları

   ResearchBib 中国知网BASE Logo googleDirectory of Research Journals Indexing LogoOnline Access to Research in the EnvironmentDTUbroadcastlogo PBN - BETA versionjournal tocs uk ile ilgili görsel sonucuFind in a library with WorldCatDiscovery: Library search made simple. Return to JournalSeek Homejatstech ile ilgili görsel sonucuExLibris header imageStanford University Libraries