Comparison of multi-objective and single-objective approaches in feasibility enhanced particle swarm optimization

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Atıf İçin Kopyala

Hasanoglu M. S., Dolen M.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.35, sa.2, ss.887-900, 2020 (SCI-Expanded)

• 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.