Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems - Part 1: Unconstrained optimization

BAYKASOĞLU A., AKPINAR Ş.

APPLIED SOFT COMPUTING, cilt.56, ss.520-540, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 56
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1016/j.asoc.2015.10.036
  • Dergi Adı: APPLIED SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.520-540
  • Anahtar Kelimeler: Meta-heuristics, Swarm intelligence, Global optimizationa, ELECTROMAGNETISM-LIKE MECHANISM, VARIABLE STEP-SIZE, FIREFLY ALGORITHM, GLOBAL OPTIMIZATION, DESIGN OPTIMIZATION, DIFFERENTIAL EVOLUTION, LOCAL SEARCH, HEURISTICS, BEHAVIOR, CHAOS
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

This paper is the first one of the two papers entitled "Weighted Superposition Attraction (WSA)", which is based on two basic mechanisms, "superposition" and " attracted movement of agents", that are observable in many systems. Dividing this paper into two parts raised as a necessity because of their individually comprehensive contents. If we wanted to write these papers as a single paper we had to write more compact as distinct from its current versions because of the space requirements. So, writing them as a single paper would not be as effective as we desired.