Comparison of multi-objective and single-objective approaches in feasibility enhanced particle swarm optimization
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.35, sa.2, ss.887-900, 2020 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 35 Sayı: 2
- Basım Tarihi: 2020
- Doi Numarası: 10.17341/gazimmfd.437579
- Dergi Adı: JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Art Source, Compendex, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.887-900
- Orta Doğu Teknik Üniversitesi Adresli: Evet
Özet
In this study, solutions for multi-objective constrained problems and their fixed weight linearly aggregated single-objective variants were obtained using the Pareto based multi-objective feasibility enhanced particle swarm optimization and single-objective approaches respectively. Comparisons involving three problems (two of which were highly constrained) revealed that optimizations performed using the multi-objective approach resulted in solutions that were also suitable for all single-objective criteria. With the multi-objective approach, objectives can be weighted after the optimization run and trade-offs can be performed without repeating the run.