Paper Info
Title
Symbiotic organisms search and two solution representations for solving the capacitated vehicle routing problem.
Abstract
Display Omitted A new metaheuristic, symbiotic organism search (SOS), is applied to the capacitated vehicle routing problem (CVRP).Two solution representations, SR-1 and SR-2, are implemented and compared.Two new interaction strategies, competition and amensalism, are proposed to improve SOS.The performance of SOS is evaluated using two sets of classical benchmark problems.The results indicate that the proposed SOS performs well in solving CVRP. This paper presents the symbiotic organisms search (SOS) heuristic for solving the capacitated vehicle routing problem (CVRP), which is a well-known discrete optimization problem. The objective of CVRP is to decide the routes for a set of vehicles to serve a set of demand points while minimizing the total routing cost. SOS is a simple and powerful metaheuristic that simulates the symbiotic interaction strategies adopted by an organism for surviving in an ecosystem. As SOS is originally developed for solving continuous optimization problems, we therefore apply two solution representations, SR-1 and SR-2, to transform SOS into an applicable solution approach for CVRP and then apply a local search strategy to improve the solution quality of SOS. The original SOS uses three interaction strategies, mutualism, commensalism, and parasitism, to improve a candidate solution. In this improved version, we propose two new interaction strategies, namely competition and amensalism. We develop six versions of SOS for solving CVRP. The first version, SOSCanonical, utilizes a commonly used continuous to discrete solution representation transformation procedure. The second version is an improvement of canonical SOS with a local search strategy, denoted as SOSBasic. The third and fourth versions use SR-1 and SR-2 with a local search strategy, denoted as SOSSR-1 and SOSSR-2. The fifth and sixth versions, denoted as ISOSSR-1 and ISOSSR-2, improve the implementation of SOSSR-1 and SOSSR-2 by adding the newly proposed competition and amensalism interaction strategies. The performances of SOSCanonical, SOSBasic, SOSSR-1, and SOSSR-2 are evaluated on two sets of benchmark problems. First, the results of the four versions of SOS are compared, showing that the preferable result was obtained from SOSSR-1 and SOSSR-2. The performances of SOSSR-1, SOSSR-2, ISOSSR-1, and ISOSSR-2 are then compared, presenting that ISOSSR-1 and ISOSSR-2 offer a better performance. Next, the ISOSSR-1 and ISOSSR-2 results are compared to the best-known solutions. The results show that ISOSSR-1 and ISOSSR-2 produce good VRP solutions under a reasonable computational time, indicating that each of them is a good alternative algorithm for solving the capacitated vehicle routing problem.
Year
DOI
Venue
2017
10.1016/j.asoc.2016.10.006
Appl. Soft Comput.
Keywords
Field
DocType
Symbiotic organisms search,Capacitated vehicle routing problem,Metaheuristics,Solution representation
Continuous optimization,Vehicle routing problem,Mathematical optimization,Heuristic,Artificial intelligence,Local search (optimization),Symbiotic organism,Discrete optimization problem,Machine learning,Mathematics,Metaheuristic,Symbiotic interaction
Journal
Volume
Issue
ISSN
52
C
1568-4946
Citations 
PageRank 
References 
17
0.63
29
Authors
5
Name
Order
Citations
PageRank
Vincent F. Yu142427.32
A. A. N. Perwira Redi2464.14
Chao-Lung Yang3355.98
Eki Ruskartina4170.63
Budi Santosa5404.37