Application of Shuffled Frog Leaping Algorithm in Determining Optimal Manpower Size

Anurag Tripathi, Vartika Singh, T.K. Sharma

Abstract

Shuffled frog leaping algorithm (SFLA) is a recently introduced meta-heuristic algorithm to find near optimal solutions for large scale problems in optimization. SFLA combines the features of two other popular search techniques namely ‘PSO’ while performing local search and ‘shuffled complex evolution’ during mixing of information. In this study we have applied basic SFLA to determine optimal manpower size optimization problem. The results prove the efficacy of SFLA in handling such type of problems.



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