Optimal path selection for logistics transportation based on an improved ant colony algorithm

Wang, Xiangqian; Li, Huizong; Yang, Jie; Yang, Chaoyu; Gui, Haixia

doi:10.1504/ijes.2020.108869

Cited by 4 publications

(3 citation statements)

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“…Optimal transportation routes can greatly shorten the transportation time, which means not only less fruit and vegetable loss and better freshness but also less energy consumption and lower transportation cost. Based on the aforementioned analysis, the problem of fruit and vegetable fresh-keeping cold chain transportation can be reduced to the problem of optimization of vehicle routes and transportation routes [8]. e research mainly contains the following parts, namely, the analysis of cold chain transportation network topology, problem description and model assumption, the establishment of target models, the setting of constraints, and optimal solutions of models.…”

Section: Methodsmentioning

confidence: 99%

Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment

Jiao¹,

Xu²,

Duan³

2021

Discrete Dynamics in Nature and Society

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Due to the limitation of later stage intelligent algorithms, the fruit and vegetable fresh-keeping cold chain transportation scheme did not meet the expectation and could not achieve the dual objectives of the shortest time and the lowest consumption at the same time. In order to solve the above problems, a cold chain transportation model of fruit and vegetable fresh-keeping in a low-temperature cold storage environment is proposed. The model is based on the topology of the cold chain transportation network. By setting the assumptions of the fruit and vegetable fresh-keeping cold chain transportation model, the objective model is composed of three parts: vehicle power fuel consumption cost, cold chain transportation refrigeration cost, and total fruit and vegetable loss cost. Under six constraints, the improved ant colony algorithm is used to find the optimal fruit and vegetable fresh-keeping cold chain transportation route. The experimental results show that compared with the methods based on ALNS, genetic algorithm, and quantum bacterial foraging optimization algorithm, the research method can bring the best comprehensive benefit by accomplishing the fruit and vegetable transportation task in the shortest time at the lowest cost, and the research goal is thus achieved.

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Section: Methodsmentioning

confidence: 99%

Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment

Jiao¹,

Xu²,

Duan³

2021

Discrete Dynamics in Nature and Society

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“…In the process of optimization, the pheromone concentrations in the paths passed by ant are different [20]. After clustering, ants' pheromones will constantly evaporate, and the evaporation formula can be expressed as follows:…”

Section: Agglomerative Hierarchical Clustering Algorithm Based On The...mentioning

confidence: 99%

Construction of Alumni Information Analysis Model Based on Big Data

Wang

2022

Mathematical Problems in Engineering

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In order to integrate and utilize alumni resources in a better way, big data is utilized to construct alumni information analysis model based on improved hierarchical clustering algorithm, so as to realize mining and retrieval of alumni information. First,the basic principle of hierarchical clustering algorithm is analyzed concretely. Moreover, the improvement is performed on this basis, and a method of calculating the distance between class clusters based on the ant colony optimization is proposed, which uses the shortest distance of the ant colony algorithm to optimally solve the distance between hierarchical class clusters, so as to improve the clustering accuracy. Then, the alumni information analysis model based on improved hierarchical clustering algorithm is constructed, and the model is divided into text preprocessing, keyword extraction, text feature vector generation, name disambiguation, and alumni recognition modules. Finally, the improved hierarchical clustering algorithm and construction of model are verified by experiments. The results show that the accuracy of the improved agglomerative hierarchical clustering algorithm is as high as 86.4% on average and 3.8% and 4.8% more than the two traditional algorithms. Thus, the clustering effect of the algorithm is better, and the proposed alumni analysis model can effectively process text disambiguation of web pages and identification of alumni information, which has certain effectiveness.

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“…Swarm optimization algorithm has been applied in various fields, including ant colony optimization (ACO) [9], particle swarm optimization (PSO) [10], grey wolf optimization (GWO) [11] and so on. The above group optimization algorithms have the problem that they are easy to fall into the local optimum.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of Chilled Water System Based on Improved Sparrow Search Algorithm

et al. 2022

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Chilled water systems have large time delays and large inertia, and the traditional PID controller has a poor control effect. In this paper, an improved sparrow search algorithm is proposed to optimize the control of chilled water systems. Firstly, the random walk strategy was used to randomly perturb the sparrows to improve the searching ability of the sparrows. Then, a Gauss mutation was added in the iteration process of sparrows to enhance the local search ability. Finally, the values of the PID parameters as obtained by the above methods were substituted into the controller for simulation. The simulation results show that the method proposed in this paper improves the search accuracy of the sparrow search algorithm and effectively solves the problems of large time delays and large inertia in the chilled water system. The method in this paper took the least amount of time for the system to reach the steady state at only 12.75 s. The control effect of the proposed method was also better than that of the improved ant colony optimization algorithm. The rise time was 2.713 s, and the adjustment time was 4.95 s.

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Optimal path selection for logistics transportation based on an improved ant colony algorithm

Cited by 4 publications

References 0 publications

Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment

Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment

Construction of Alumni Information Analysis Model Based on Big Data

Optimal Control of Chilled Water System Based on Improved Sparrow Search Algorithm

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