Application of Shuffled Frog Leaping Algorithm in Determining Optimal Manpower Size

  • Anurag Tripathi
  • Vartika Singh
  • T.K. Sharma
Keywords: Shuffled frog leaping algorithm, SFLA, metaheuristic, optimization, human resource management

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

Author Biographies

Anurag Tripathi

Maharishi Ved Vyas Engineering College Jagadhari, Haryana, India

Vartika Singh

Jaypee University of Engineering and Technology, Guna, India

T.K. Sharma

Amity University Rajasthan, Jaipur, India

Published
2014-10-05
How to Cite
Tripathi, A., Singh, V., & Sharma, T. (2014). Application of Shuffled Frog Leaping Algorithm in Determining Optimal Manpower Size. MATRIX Academic International Online Journal Of Engineering And Technology, 2(2), 17-20. Retrieved from https://www.maiojet.com/index.php/matrix/article/view/25
Issue
Vol. 2 No. 2 (2014): Oct,2014 Edition Volume II Issue II
Section
Articles