Multiobjective ant algorithm for continuous function optimizatio: combination of strength Pareto fitness assignment and thermodynamic clustering

• Autorzy: Shelokar S. , Adhikari S. , Vakil R. , Jayaraman V. K. , Kulkarni B. D.
• Języki publikacji: EN

Abstrakty

EN

A new multiobjective ant algorithm augmented with the strength Pareto fitness assignment methodology and thermodynamic clustering technique is presented. The algorithm is very effective in preserving diversity and in obtaining Pareto optimal solutions. The efficacy of the algorithm is illustrated by considering four benchmarking test examples.

Słowa kluczowe

EN

multiobjective ant algorithm; multiple objective optimization; strength Pareto fitness assignment; thermodynamic clustering

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2000
• Tom: Vol. 25, No. 4
• Strony: 213--230
• Opis fizyczny: Bibliogr. 37 poz.

Twórcy

autor

Shelokar S.

autor

Adhikari S.

autor

Vakil R.

autor

Jayaraman V. K.

autor

Kulkarni B. D.

• Chemical Engieering Department, National Chemical Laboratory, Pune 411008, India,