Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems - Part 1: Unconstrained optimization
APPLIED SOFT COMPUTING, cilt.56, ss.520-540, 2017 (SCI-Expanded, Scopus)
- 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
- 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.