Title
Solving The Set Covering Problem With A Shuffled Frog Leaping Algorithm
Abstract
In this paper we design and evaluate a shuffled frog leaping algorithm that solves the set covering problem. The shuffled frog leaping algorithm is a novel metaheuristic inspired by natural memetics. It consists of an individual memetic evolution and a global memetic information exchange between a population of virtual frogs representing possible solutions of a problem at hand. The experimental results show the effectiveness of our approach which produces competitive results solving a portfolio of set covering problems from the OR-Library.
Year
DOI
Venue
2015
10.1007/978-3-319-15705-4_5
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT II
Keywords
Field
DocType
Shuffled frog leaping algorithm, Set covering problem, Metaheuristics, Artificial and computational intelligence
Set cover problem,Population,Mathematical optimization,Computer science,Information exchange,Memetics,Shuffled frog leaping algorithm,Covering problems,Metaheuristic
Conference
Volume
ISSN
Citations 
9012
0302-9743
8
PageRank 
References 
Authors
0.53
13
6
Name
Order
Citations
PageRank
Broderick Crawford144673.74
Ricardo Soto219447.59
Cristian Peña3202.10
Wenceslao Palma4685.92
Franklin Johnson5384.72
Fernando Paredes623027.21