2022
DOI: 10.3390/su14052985
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Multi-Objective Optimization of Customer-Centered Intermodal Freight Routing Problem Based on the Combination of DRSA and NSGA-III

Abstract: The satisfaction of requirements and preferences of shippers is critical to enable the practicability of solutions that are derived from intermodal transportation routing problems. This study aims to propose a decision process to help shippers participate better in routing decisions. First, we considered shippers’ requests on transportation cost, timeliness, reliability, and flexibility to construct a multi-objective optimization model. Then, to solve the interactive optimization method that was proposed, NSGA… Show more

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Cited by 12 publications
(12 citation statements)
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“…Deb proposed a fast, non-dominated-sorting genetic algorithm based on reference points (NSGA-III) [11], which replaced the congestion by associating the reference points, and solved the problem of high-dimensional objective optimization. Many scholars have solved high-dimensional multi-objective optimization problems based on the above algorithms, including the multi-objective classification problem [12], reservoir flood-control-operation problem [13], resource-allocation problem [14][15][16], location-routing problem [17][18][19][20], high-dimensional target power-flow-optimization problem of a power system [21,22], etc.…”
Section: Principle Of I-nsga-iii-vlc Methodsmentioning
confidence: 99%
“…Deb proposed a fast, non-dominated-sorting genetic algorithm based on reference points (NSGA-III) [11], which replaced the congestion by associating the reference points, and solved the problem of high-dimensional objective optimization. Many scholars have solved high-dimensional multi-objective optimization problems based on the above algorithms, including the multi-objective classification problem [12], reservoir flood-control-operation problem [13], resource-allocation problem [14][15][16], location-routing problem [17][18][19][20], high-dimensional target power-flow-optimization problem of a power system [21,22], etc.…”
Section: Principle Of I-nsga-iii-vlc Methodsmentioning
confidence: 99%
“…Table 3 lists the priorities of each parameter applied to the routing process. In MOP approaches, weighting is commonly used to integrate multiple objectives [42]. Chang [43] utilized a weighted method to integrate multiple goals, and Kaewfak et al [44] combined 0-1 goal programming with an analytic hierarchy process to determine weights to generate optimal routes.…”
Section: Evaluation Model Of Route-selection Factorsmentioning
confidence: 99%
“…Constraint (9) ensures that the flow of goods in unselected distribution centres is zero. Constraint (10) represents the capacity limitation of distribution centres. The number of selected distribution centres is represented by constraint (11).…”
Section: The Location Model Of Stage Tmentioning
confidence: 99%
“…A reasonable selection of the location and number of distribution centres of the logistics system will provide advantages in ensuring the operation of the logistics system, reducing logistics cost and loss of goods, and accelerating turnover, among other advantages. Additional benefits on distribution centres analysis may be found in the literature linked with sustainability perspective such as emergency materials dispatching [7,8] or logistics distribution networks [9][10][11]. In the framework of sustainability, our work focuses on two specific points: (i) sustainable economic development and business management, (ii) Sustainable supply chains, logistics, and transportation.…”
Section: Introductionmentioning
confidence: 99%