Combining simheuristics with Petri nets for solving the stochastic vehicle routing problem with correlated demands

Latorre-Biel, Juan-Ignacio; Ferone, Daniele; Juan, Ángel A.; Faulín, Javier

doi:10.1016/j.eswa.2020.114240

Cited by 22 publications

(12 citation statements)

References 43 publications

(48 reference statements)

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“…It can be seen that the configuration created by the DSM method in both Ackley and Rastrigin functions is more efficient than other methods, and this indicates the superiority of the DSM method. Due to the importance of parameter setting, the proposed method can be used in various problems such as repairs’ scheduling (Al-Refaie & Al-Hawadi, 2021 ), supply chain network design (Hasani et al, 2021 ; Hosnavi et al, 2019 ; Khalili et al, 2017 ), and vehicle routing (Khalili et al, 2016 ; Latorre-Biel et al, 2021 ).…”

Section: Validation Of the Proposed Dsm Methods Compared To Similar Approachesmentioning

confidence: 99%

Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM

Shadkam

2021

Environ Sci Pollut Res

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Section: Validation Of the Proposed Dsm Methods Compared To Similar Approachesmentioning

confidence: 99%

Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM

Shadkam

2021

Environ Sci Pollut Res

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“…Different variants can be found in the literature. For instance, Latorre-Biel et al [45] combine simheuristics with machine learning and Petri nets to solve a single-depot VRP with stochastic and correlated demands. The proposed algorithm is capable of forecasting both customer demands and their correlations.…”

Section: Simheuristics In Transportation Problemsmentioning

confidence: 99%

Fuzzy Simheuristics for Optimizing Transportation Systems: Dealing with Stochastic and Fuzzy Uncertainty

et al. 2021

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In the context of logistics and transportation, this paper discusses how simheuristics can be extended by adding a fuzzy layer that allows us to deal with complex optimization problems with both stochastic and fuzzy uncertainty. This hybrid approach combines simulation, metaheuristics, and fuzzy logic to generate near-optimal solutions to large scale NP-hard problems that typically arise in many transportation activities, including the vehicle routing problem, the arc routing problem, or the team orienteering problem. The methodology allows us to model different components–such as travel times, service times, or customers’ demands–as deterministic, stochastic, or fuzzy. A series of computational experiments contribute to validate our hybrid approach, which can also be extended to other optimization problems in areas such as manufacturing and production, smart cities, telecommunication networks, etc.

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“…Then, the average delay time of the system corresponding to the transition is calculated in the SPN model. Finally, according to formula (16), the change value δ of the total time of the ER system is calculated when each transition unit changes, and the results are shown in Table 5.…”

Section: Optimization Analysis Of Er Processmentioning

confidence: 99%

“…Stochastic Petri nets (SPN) based on time have more advantages in describing the dynamic behavior of a system network. Therefore, SPN is used to study the unreasonable problems in the ER process of the coal mines, which can improve the efficiency of ER and increase the survival probability of trapped miners [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Modified Stochastic Petri Net-Based Modeling and Optimization of Emergency Rescue Processes during Coal Mine Accidents

Shi

Wang

et al. 2021

Geofluids

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The coal mine accidents seriously affect the safety and efficiency of mining for coal mining enterprises. The reliable emergency rescue (ER) processes are explored to minimize the loss of accidents. This paper introduces the stochastic Petri net (SPN) and Markov chain (MC) models based on the system structure flow to analyze the ER processes of coal mine accidents. In addition, a triangle fuzzy strategy is presented to optimize the SPN model. The “9·28” major water inrush accident in Shanxi Fenxi Zhengsheng Coal Company of China is adopted to evaluate the time performance and accident data of the ER process. The MC model-based steady-state probabilities of the system under various states are used to calculate the average delay time of this system. The triangular fuzzy strategy is used to analyze the change value of the total time in the ER system at the unit transition speed when the firing rate of each transition is changed, which finds the most time-consuming key activities in the ER process. The results show that SPN and MC can reflect the dynamic behaviors of ER process, which provides a reference for the rescue operations of other coal mine accidents. The triangular fuzzy strategy can quickly find out the key activities affecting the ER time, which greatly decreases the calculations generated by analyzing the total time of the system changed at the unit transition speed.

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Combining simheuristics with Petri nets for solving the stochastic vehicle routing problem with correlated demands

Cited by 22 publications

References 43 publications

Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM

Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM

Fuzzy Simheuristics for Optimizing Transportation Systems: Dealing with Stochastic and Fuzzy Uncertainty

Modified Stochastic Petri Net-Based Modeling and Optimization of Emergency Rescue Processes during Coal Mine Accidents

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