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Shuffled Frog Leaping Algorithm in Distributed System

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IJCA Proceedings on International Conference on Innovations in Computing Techniques (ICICT 2015)
© 2015 by IJCA Journal
ICICT 2015 - Number 3
Year of Publication: 2015
Authors:
S. Sarathambekai
K. Umamaheswari
G. Tharanipriya

S Sarathambekai, K Umamaheswari and G Tharanipriya. Article: Shuffled Frog Leaping Algorithm in Distributed System. IJCA Proceedings on International Conference on Innovations in Computing Techniques (ICICT 2015) ICICT 2015(3):12-15, July 2015. Full text available. BibTeX

@article{key:article,
	author = {S. Sarathambekai and K. Umamaheswari and G. Tharanipriya},
	title = {Article: Shuffled Frog Leaping Algorithm in Distributed System},
	journal = {IJCA Proceedings on International Conference on Innovations in Computing Techniques (ICICT 2015)},
	year = {2015},
	volume = {ICICT 2015},
	number = {3},
	pages = {12-15},
	month = {July},
	note = {Full text available}
}

Abstract

The general problem of multiprocessor scheduling is stated as scheduling tasks on a multiprocessor system so that a set of performance criteria can be optimized. Shuffled Frog Leaping (SFL) algorithm is a recently developed population based search algorithm, which is inspired by the interactive behavior and global exchange of information of frogs searching for food. It is combination of meme-based genetic algorithm or Memetic Algorithm (MA) and Particle Swarm Optimization (PSO). This algorithm is used in this paper to solve a task scheduling problem in distributed systems which aims at minimizing the tri-objectives such as makespan, flow time and reliability cost.

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