A genetic algorithm for fuzzy random and low-carbon integrated forward/reverse logistics network design

Ren, Yangjun; Wang, Chuanxu; Li, Botang; Yu, Chao Ming; Zhang, Suyong

doi:10.1007/s00521-019-04340-4

Cited by 24 publications

(7 citation statements)

References 43 publications

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“…(1) Parallelism. Since the search process of each ant is independent of each other, they only search within their own scope and then exchange and exchange information through the information cable [15]. Therefore, ant colony algorithm can be designed as a parallel algorithm, and this parallel computing can greatly reduce the computing time of ant colony algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of New Energy Public Transportation Network Based on Ant Colony Algorithm and Low-Carbon Concept

Geng

2022

Wireless Communications and Mobile Computing

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In order to solve the optimization of new energy bus line network, a new energy bus line network based on ant colony algorithm and low-carbon concept is proposed. Firstly, the model of public transport network is established combined with OD matrix, and the improved ant colony algorithm is used to iteratively optimize the initial suboptimal route set, optimize the objective function, and finally obtain the optimal public transport route set. Secondly, the improved ant colony algorithm based on simulated annealing solves the design of public transport network, and the optimization scheme greatly reduces the number of passenger transfers and the total travel time of passengers. Finally, simulated annealing algorithm, basic ant colony algorithm, and simulated annealing improved ant colony algorithm are used to optimize the objective function. It is proved that the improved ant colony algorithm of simulated annealing can find the optimal solution of the three algorithms when solving the problem of public transport network design, which is better than the solution of basic ant colony and simulated annealing algorithm. The solution efficiency is 10.6 times that of simulated annealing algorithm and 3.5 times that of basic ant colony algorithm.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of New Energy Public Transportation Network Based on Ant Colony Algorithm and Low-Carbon Concept

Geng

2022

Wireless Communications and Mobile Computing

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“…Liao et al [31] creates an expanded EOQ model, demonstrates that the greatest quantities vary in two scenarios with a carbon limit and an exchange mechanism, and examines the effects of taxation policy on the greatest strategies from the government's viewpoint. Ren et al [32] creates a novel multi-objective complicated integer nonlinear programming model and evaluates the effects of the carbon ISSN 2616-5902 Vol. 3, Issue 10: 105-118, DOI: 10.25236/AJBM.2021.031019…”

Section: Limit-and-exchange Mechanism In the Supply Chain Managementmentioning

confidence: 99%

The Operational and Coordinated Strategies of the low carbon Supply Chain with a Loss-reluctance Under the electronic business platform Financing Service

2021

AJBM

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We investigate the operational and coordinated strategies of a low carbon supply chain in the carbon limit and exchange market, where the capital-constrained manufacturer exhibits loss-reluctance behavior due to the uncertainty of market demand. In this paper, we calculate the greatest loan interest rate for the electronic business platform, the greatest ordering amount for the manufacturer in the decentralized system, and the greatest ordering amount for the entire supply chain in the centralized system. We design a transfer payment contract to coordinate the emission-dependent supply under the electronic business platform financing service by comparing the manufacturer's greatest ordering amount in different systems. We conclude from theoretical analyses that when the critical value of the manufacturer's self-owned capital exceeds a certain point, the greatest ordering amount of the lossreluctance manufacturer under the electronic business platform financing service is greater than that of the well-funded manufacturer. Furthermore, when the manufacturer's self-owned capital changes within a certain range, the electronic business platform financing service can cause both an electronic business platform and a loss-reluctant manufacturer to achieve Pareto improvement, even though the electronic business platform financing service does not coordinate the supply chain, which is regulated by a carbon limit and an exchange mechanism. Furthermore, when a certain condition is met by the transfer payment contract, the lack of capital and the low carbon supply chain can achieve complete coordination.

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“…For instance, Ren et al [43] utilized the multi-objective GA to optimize the robust adaptation of gene regulatory networks by searching the feasible topologies and the corresponding parameter sets. In [44], Ren et al took advantage of a GA to design an integrated forward-reverse logistics network while accounting for carbon cap-and-trade considerations and total cost optimization.…”

Section: Multi-population Evolutionary Algorithm For Optimizing Robustnessmentioning

confidence: 99%

Building Robust Closed-Loop Supply Networks against Malicious Attacks

Deng

Long

et al. 2020

Processes

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With recent industrial upgrades, it is essential to transform the current forward supply networks (FSNs) into closed-loop supply networks (CLSNs), which are formed by the integration of forward and reverse logistics. The method chosen in this paper for building reverse logistics is to add additional functions to the existing forward logistics. This process can be regarded as adding reverse edges to the original directed edges in an FSN. Due to the limitation of funds and the demand for reverse flow, we suppose that a limited number of reverse edges can be built in a CLSN. To determine the transformation schemes with excellent robustness against malicious attacks, this paper proposes a multi-population evolutionary algorithm with novel operators to optimize the robustness of the CLSN, and this algorithm is abbreviated as MPEA-RSN. Then, both the generated and realistic SNs are taken as examples to validate the effectiveness of MPEA-RSN. The simulation results show that the index R, introduced to evaluate the robustness of CLSNs, can be improved by more than 95%, and this indicates that (1) the different schemes for adding reverse routes to an FSN can lead to different robustness values, and (2) the robustness of the transformed CLSN to malicious attacks can be significantly improved after optimization by MPEA-RSN. When an FSN is to be transformed into a CLSN, this paper can provide a frame of reference for building a CLSN that is robust to malicious attacks from a network structural perspective.

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A genetic algorithm for fuzzy random and low-carbon integrated forward/reverse logistics network design

Cited by 24 publications

References 43 publications

Optimization of New Energy Public Transportation Network Based on Ant Colony Algorithm and Low-Carbon Concept

Optimization of New Energy Public Transportation Network Based on Ant Colony Algorithm and Low-Carbon Concept

The Operational and Coordinated Strategies of the low carbon Supply Chain with a Loss-reluctance Under the electronic business platform Financing Service

Building Robust Closed-Loop Supply Networks against Malicious Attacks

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