Path planning using clonal selection algorithm

Christian Huizar, Oscar Montiel-Ross, Roberto Sepúlveda, Francisco Javier Díaz Delgadillo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Scopus citations

Abstract

We used the clonal selection algorithm (CSA) to generate optimal or nearly optimal solutions for solving combinatorial optimization problems, the algorithm was applied to generate quality G-Code sequences for a CNC Mill machine tool problem. We validated the software using the Traveler Salesman Problem (TSP) and demonstrated that the algorithm can optimize the travel path by reducing manufacturing time and costs. Different optimization experiments using the CSA of manufacturing codes of application CAD/CAM software are illustrated.

Original languageEnglish
Title of host publicationRecent Advances on Hybrid Intelligent Systems
EditorsOscar Castillo, Patricia Melin, Oscar Castillo, Patricia Melin, Janusz Kacprzyk
Pages303-312
Number of pages10
DOIs
StatePublished - 2013

Publication series

NameStudies in Computational Intelligence
Volume451
ISSN (Print)1860-949X

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