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Cited by 62 publications
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References 32 publications
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“…In this simulation, solution obtained by HACA is compared with HPSOGA designed by Kuo et al [13]. Each instance runs 20 times.…”
Section: The Running Time Of the Hacamentioning
confidence: 99%
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“…In this simulation, solution obtained by HACA is compared with HPSOGA designed by Kuo et al [13]. Each instance runs 20 times.…”
Section: The Running Time Of the Hacamentioning
confidence: 99%
“…Constraint (12) ensures that at most vehicles are used. Constraint (13) ensures that vehicle routes start from the depot 0 and terminate at the same depot. Constraint (14) represents the subtour elimination constraint where | | stands for the cardinality of set .…”
Section: Vrpfd Modelmentioning
confidence: 99%
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“…For transportation system area (See Kuo et al, 2012;Liu, 2013;Chen et al, 2011;Xiong et al, 2012), we apply an improved genetic algorithm which is a hybridization of genetic algorithm and a heuristic algorithm. In order to validate applicability of the developed algorithms, results of the algorithms are compared with those of GAMS for some small-size problem instances.…”
Section: Tablementioning
confidence: 99%
“…Following the first heuristics algorithm presented by Hochbaum and Shmoys [24], there has been a long list of work on designing heuristics algorithms for this problem over the years. Several meta-heuristic approaches were reported, including Genetic Algorithm (GA) [25][26][27], Tabu Search (TS) [28][29][30], Particle Swarm Optimization (PSO) [11,20,31], hybrid algorithm [32][33][34][35], etc., which were used to solve VRP and its variant problems. With reference to Genetic Algorithm, Ombuki et al [25] proposed an application of genetic algorithms approach for multi-depot vehicle routing problem(MDVRP) using the Pareto ranking technique.…”
Section: Introductionmentioning
confidence: 99%