Funciones de binarización para el Algoritmo del Salto de la Rana que resuelve el Problema de Cobertura de Conjunto

Translated title of the contribution: Binarization functions for Shuffled Frog Leaping Algorithm can solve the Set Covering Problem

Broderick Crawford, Ricardo Soto, Cristian Peña, Marco Riquelme-Leiva, Claudio Torres-Rojas, Franklin Johnson, Fernando Paredes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents metaheuristic Shuffled Frog Leaping Algorithm (SFLA) to solve the Set Covering Problem (SCP), the SFLA is inspired by the social behavior of frogs, and is being applied to solve many optimization problems. The proposed algorithm includes eight binarization functions and discretization method for resolving the binary representation of the SCP. In the 65 instances of SCP we obtains very promising results.

Translated title of the contributionBinarization functions for Shuffled Frog Leaping Algorithm can solve the Set Covering Problem
Original languageSpanish
Title of host publication2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789899843455
DOIs
StatePublished - 28 Jul 2015
Event10th Iberian Conference on Information Systems and Technologies, CISTI 2015 - Aveiro, Portugal
Duration: 17 Jun 201520 Jun 2015

Publication series

Name2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015

Conference

Conference10th Iberian Conference on Information Systems and Technologies, CISTI 2015
Country/TerritoryPortugal
CityAveiro
Period17/06/1520/06/15

Fingerprint

Dive into the research topics of 'Binarization functions for Shuffled Frog Leaping Algorithm can solve the Set Covering Problem'. Together they form a unique fingerprint.

Cite this