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

Shelokar S., Adhikari S., Vakil R., Jayaraman V. K., Kulkarni B. D.

Foundations of Computing and Decision Sciences

2000

Vol. 25, No. 4

213-230

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.