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Adapting TRIBES algorithm for Traveling Salesman Problem
Metaheuristics constitute an important alternative in solving NP-Hard combinatorial optimization problems. Unfortunately, many parameters have to be tuned for any metaheuristic, and their values may have a great influence on the efficiency and effectiveness of the search. The exploration of an optim...
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creator | Daoudi, M. Boukra, A. Ahmed-Nacer, M. |
description | Metaheuristics constitute an important alternative in solving NP-Hard combinatorial optimization problems. Unfortunately, many parameters have to be tuned for any metaheuristic, and their values may have a great influence on the efficiency and effectiveness of the search. The exploration of an optimal combination of such values may be difficult and big time consuming. Clerc et al have defined a parameter-free algorithm for PSO (Particle Swarm Optimization), called TRIBES. In this paper, we propose to adapt TRIBES to solve discrete problems. To highlight our approach, we treat of the well-known NP-Hard Traveling Salesman Problem (TSP) problem. Modifications in different mechanisms and formulae adaptations are made, like in the generation process of the particles and in the displacement strategies. The experimentations results show the good behavior of the "Adapted TRIBES". Comparison is made with a basic genetic algorithm, and with a branch and bound method. |
doi_str_mv | 10.1109/ISPS.2011.5898889 |
format | conference_proceeding |
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Comparison is made with a basic genetic algorithm, and with a branch and bound method.</description><subject>Branch and Bound</subject><subject>Cities and towns</subject><subject>Combinatorial Optimization Problem</subject><subject>Gaussian distribution</subject><subject>Genetic Algorithm</subject><subject>Genetic algorithms</subject><subject>Metaheuristic</subject><subject>NP-Hard problems</subject><subject>Optimization</subject><subject>Particle swarm optimization</subject><subject>Search problems</subject><subject>Traveler Salesman Problem</subject><subject>Traveling salesman problems</subject><subject>TRIBES</subject><isbn>9781457709050</isbn><isbn>1457709058</isbn><isbn>1457709074</isbn><isbn>9781457709081</isbn><isbn>1457709082</isbn><isbn>9781457709074</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j91Kw0AUhFekoLZ5APEmL5B4TpL9OZe1VA0ULCb3Zbe7W1eSpmyC4Ntbsc7NMHwwwzB2j5AjAj3WzbbJC0DMuSKlFF2xO6y4lEAgq2uWkFT_mcMNS8bxE84SgniBt0wtrT5N4XhI2_f6ad2kujsMMUwffeqHmLZRf7nuFze6c2Ovj-k2DqZz_YLNvO5Gl1x8ztrndbt6zTZvL_VquckCwZQZU57Hye4tV9xXhgRHgVyoytgCyItSVaitddJLQ14WWss9AEn0JRoP5Zw9_NUG59zuFEOv4_fu8rX8AXSfRqM</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Daoudi, M.</creator><creator>Boukra, A.</creator><creator>Ahmed-Nacer, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201104</creationdate><title>Adapting TRIBES algorithm for Traveling Salesman Problem</title><author>Daoudi, M. ; Boukra, A. ; Ahmed-Nacer, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-bb34579dcd585f4b9651615684bd209f63841adde7f7b9f72aa7c00971f31bf03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Branch and Bound</topic><topic>Cities and towns</topic><topic>Combinatorial Optimization Problem</topic><topic>Gaussian distribution</topic><topic>Genetic Algorithm</topic><topic>Genetic algorithms</topic><topic>Metaheuristic</topic><topic>NP-Hard problems</topic><topic>Optimization</topic><topic>Particle swarm optimization</topic><topic>Search problems</topic><topic>Traveler Salesman Problem</topic><topic>Traveling salesman problems</topic><topic>TRIBES</topic><toplevel>online_resources</toplevel><creatorcontrib>Daoudi, M.</creatorcontrib><creatorcontrib>Boukra, A.</creatorcontrib><creatorcontrib>Ahmed-Nacer, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Explore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Daoudi, M.</au><au>Boukra, A.</au><au>Ahmed-Nacer, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adapting TRIBES algorithm for Traveling Salesman Problem</atitle><btitle>2011 10th International Symposium on Programming and Systems</btitle><stitle>ISPS</stitle><date>2011-04</date><risdate>2011</risdate><spage>163</spage><epage>168</epage><pages>163-168</pages><isbn>9781457709050</isbn><isbn>1457709058</isbn><eisbn>1457709074</eisbn><eisbn>9781457709081</eisbn><eisbn>1457709082</eisbn><eisbn>9781457709074</eisbn><abstract>Metaheuristics constitute an important alternative in solving NP-Hard combinatorial optimization problems. Unfortunately, many parameters have to be tuned for any metaheuristic, and their values may have a great influence on the efficiency and effectiveness of the search. The exploration of an optimal combination of such values may be difficult and big time consuming. Clerc et al have defined a parameter-free algorithm for PSO (Particle Swarm Optimization), called TRIBES. In this paper, we propose to adapt TRIBES to solve discrete problems. To highlight our approach, we treat of the well-known NP-Hard Traveling Salesman Problem (TSP) problem. Modifications in different mechanisms and formulae adaptations are made, like in the generation process of the particles and in the displacement strategies. The experimentations results show the good behavior of the "Adapted TRIBES". Comparison is made with a basic genetic algorithm, and with a branch and bound method.</abstract><pub>IEEE</pub><doi>10.1109/ISPS.2011.5898889</doi><tpages>6</tpages></addata></record> |
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subjects | Branch and Bound Cities and towns Combinatorial Optimization Problem Gaussian distribution Genetic Algorithm Genetic algorithms Metaheuristic NP-Hard problems Optimization Particle swarm optimization Search problems Traveler Salesman Problem Traveling salesman problems TRIBES |
title | Adapting TRIBES algorithm for Traveling Salesman Problem |
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