A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility

Zhalechian, Mohammad; Tavakkoli–Moghaddam, Reza; Rahimi, Yaser

doi:10.1016/j.engappai.2017.03.006

Cited by 64 publications

(29 citation statements)

References 39 publications

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“…Many approaches are introduced to deal with the multi-objective problems such as weighted sum, goal programming, and goal attention. In this paper, a TH method is used, the steps of the TH method can be summarized as follows (Zhalechian et al, 2017):…”

Section: Multi-objective Modelmentioning

confidence: 99%

A stochastic time-dependent green capacitated vehicle routing and scheduling problem with time window, resiliency and reliability: a case study

Rabbani¹,

Bosjin²,

Yazdanparast³

et al. 2018

10.5267/j.dsl

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This paper presents a new multi-objective model for a vehicle routing problem under a stochastic uncertainty. It considers traffic point as an inflection point to deal with the arrival time of vehicles. It aims to minimize the total transportation cost, traffic pollution, customer dissatisfaction and maximizes the reliability of vehicles. Moreover, resiliency factors are included in the model to increase the flexibility of the system and decrease the possible losses that may impose on the system. Due to the NP-hardness of the presented model, a metaheuristic algorithm, namely Simulated Annealing (SA) is developed. Furthermore, a number of sensitivity analyses are provided to validate the effectiveness of the proposed model. Lastly, the foregoing meta-heuristic is compared with GAMS, in which the computational results demonstrate an acceptable performance of the proposed SA. .

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Section: Multi-objective Modelmentioning

confidence: 99%

A stochastic time-dependent green capacitated vehicle routing and scheduling problem with time window, resiliency and reliability: a case study

Rabbani¹,

Bosjin²,

Yazdanparast³

et al. 2018

10.5267/j.dsl

View full text Add to dashboard Cite

show abstract

“…The proposed model for this problem is a fuzzy multi-objective nonlinear programming (FMONLP). There are a number of adopted methods to transform this model into its equivalent crisp match, from which a two-phase approach is offered [13][14][15][16][17][18][19][20]. Firstly, using an efficient method introduced by Jimenez et al, [21], the basic model is transformed into an equivalent auxiliary crisp multiobjective model.…”

Section: Proposed Uncertainty Programmingmentioning

confidence: 99%

“…Reviewing the aforementioned discussions and literature, we understand that there are gaps in (1) selecting the best projects portfolio that the effect of risk in selected projects is controlled [18], and (2) selecting projects to check the balance between the total cost of the selected projects and the profit of the selected projects, and all the predicted risk response effects. Furthermore, some of the parameters in the real-world are uncertain and can cause a high degree of uncertainty on a designed network [19].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Approach Model to Portfolio Risk Response Strategies

Rahimi¹

2021

Risk Management

Self Cite

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Risk management and control of project risks have been the intrinsic characteristics of high-rise building projects in a changing built environment. In this research, a novel bi-objective model for the best mixture of projects is proposed. The first objective focuses on maximizing profits and efficiency of risk responses, and the second objective aims at minimizing project direct cost including machinery, human, and material costs to implement proper risk responses over a planning horizon under uncertainty. In this model, risks of the projects are controlled by time, quality, and cost constraints, and the most optimum risk response strategies (RRSs) are selected to eliminate or reduce the impacts of the risks. Thus, the combination of optimum projects with the best RRSs can be selected for an organizational portfolio model. Finally, to assess the solution method and the proposed model, the empirical result and sensitivity analysis are carried out. Ten large-scale high-rise building projects and their associated risks are evaluated as cases in this study.

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“…Eliana et al [ 16 ] developed a new mathematical model considering the minimization of operational costs and the minimization of environmental effects to solve the capacitated location-routing problem. Mohammad et al [ 17 ] presented a new multiobjective model for a hub location problem under uncertainty and proposed a hybrid two-phase solution method to solve this model. John et al [ 18 ] proposed a two-phase hybrid heuristic algorithm to solve the capacitated location-routing problem.…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers

Wei

2018

PLoS ONE

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Distribution centers (DCs) are an important part of the modern logistics system. The selection of a location for a DC is significant for saving costs and reducing externalities caused by distribution. In this paper, we propose a new hybrid method based on the analytic hierarchy process (AHP) and 2-tuple hybrid ordered weighted averaging (THOWA) to select the location of a DC in a megacity. First, we propose a new set of evaluation criteria integrating economic, political, social and ecological information based on the characteristics of Chinese megacities. Second, subjective criteria weights are calculated by AHP combining the evaluation of logistics experts. Third, experts from academia, enterprise and government assess the performance of alternatives. In addition, the overall evaluation values are aggregated by an improved THOWA operator to rank the alternatives. Finally, we conduct a sensitivity analysis to investigate the influence of criteria weights on the decision-making process. The proposed method is novel and addresses the uncertainty under limited quantitative information, which has the advantages of avoiding information loss and distortion problems in the integrating process and operating linguistic evaluation information effectively. The proposed method can be practically applied by municipal planning departments in deciding on the location of new DCs. A numerical application of the proposed method is provided.

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A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility

Cited by 64 publications

References 39 publications

A stochastic time-dependent green capacitated vehicle routing and scheduling problem with time window, resiliency and reliability: a case study

A stochastic time-dependent green capacitated vehicle routing and scheduling problem with time window, resiliency and reliability: a case study

Fuzzy Approach Model to Portfolio Risk Response Strategies

A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers

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