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Metaheuristics for the single vehicle routing problem with deliveries and selective pickups
In this work we propose some metaheuristics to solve a routing problem with mandatory deliveries and selective pickups. There are two integer programming formulations proposed in the literature but they are able to solve to optimality only small-sized instances. Some greedy heuristics and metaheuris...
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creator | Bruck, B. P. dos Santos, Andre Gustavo Arroyo, J. E. C. |
description | In this work we propose some metaheuristics to solve a routing problem with mandatory deliveries and selective pickups. There are two integer programming formulations proposed in the literature but they are able to solve to optimality only small-sized instances. Some greedy heuristics and metaheuristics have also been proposed: Tabu Search, General Variable Neighborhood Search and Evolutionary Algorithm. Here we proposed an Iterated Local Search and a Variable Neighborhood Search algorithms, and improve the performance of the previous Evolutionary Algorithm. We present experimental results on 68 instances and show that our methods outperforms the others in several cases, finding better solutions for 21 of them. Using a theoretical lower bound we prove the optimality of the solutions for 8 instances. |
doi_str_mv | 10.1109/ISDA.2012.6416626 |
format | conference_proceeding |
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C.</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</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>Bruck, B. P.</au><au>dos Santos, Andre Gustavo</au><au>Arroyo, J. E. C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Metaheuristics for the single vehicle routing problem with deliveries and selective pickups</atitle><btitle>2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)</btitle><stitle>ISDA</stitle><date>2012-11</date><risdate>2012</risdate><spage>723</spage><epage>728</epage><pages>723-728</pages><issn>2164-7143</issn><eissn>2164-7151</eissn><isbn>9781467351171</isbn><isbn>1467351172</isbn><eisbn>9781467351188</eisbn><eisbn>1467351199</eisbn><eisbn>1467351180</eisbn><eisbn>9781467351195</eisbn><abstract>In this work we propose some metaheuristics to solve a routing problem with mandatory deliveries and selective pickups. There are two integer programming formulations proposed in the literature but they are able to solve to optimality only small-sized instances. Some greedy heuristics and metaheuristics have also been proposed: Tabu Search, General Variable Neighborhood Search and Evolutionary Algorithm. Here we proposed an Iterated Local Search and a Variable Neighborhood Search algorithms, and improve the performance of the previous Evolutionary Algorithm. We present experimental results on 68 instances and show that our methods outperforms the others in several cases, finding better solutions for 21 of them. Using a theoretical lower bound we prove the optimality of the solutions for 8 instances.</abstract><pub>IEEE</pub><doi>10.1109/ISDA.2012.6416626</doi><tpages>6</tpages></addata></record> |
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subjects | Algorithm design and analysis evolutionary algorithm Evolutionary computation Maintenance engineering metaheuristics Routing Sociology Statistics vehicle routing Vehicles |
title | Metaheuristics for the single vehicle routing problem with deliveries and selective pickups |
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