Research on Location Assignment Model of Intelligent Warehouse with RFID and Improved Particle Swarm Optimization Algorithm

Yang, Lvqing; Zheng, Yan; Xu, Yezi; Bai, Yang

doi:10.1109/iccsec.2017.8446952

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Thus, in each iteration, the pheromones of optimal path increase, and the pheromones of the optimal path will decay. Therefore, to model pheromone losses from evaporation, all elements are reduced by multiplying (1 − ρ), where ρ ∈ [0, 1]. Assuming that the current optimal solution of the problem is denoted as S best , and S represents the best feasible solution obtained during one iteration, if (i, j) belongs to the feasible solution S obtained from this iteration, then the pheromone of (i, j) should be increased by adding γ i , which reflects the performance of the current solution, which is given as follows:…”

Section: Aco-based Sensor Association Schemementioning

confidence: 99%

“…With the rapid development of the logistics industry and smart grid, the intelligent management of a power materials warehouse has become more and more important [1]. Power materials warehouse management is a key component of ensuring a smooth material distribution and the overall efficiency of the smart grid, and is also recognized as one of the most effective ways of reducing labor requirements.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Zhong

et al. 2021

Energies

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In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the determination of the amount of collected data are critical for prolonging the survival time of WSNs and increasing the satisfaction of the warehouse supplier. Therefore, in this paper, an optimization problem on sensor association and acquisition data satisfaction is proposed, and the subproblem of the sensor association is modeled as the knapsack problem. To cope with it, the block coordinate descent method is used to obtain the suboptimal solution. A sensor association scheme based on the ant colony algorithm (ACO) is proposed, and the upper and lower bounds of this optimization problem are also obtained. After this, a cluster head selection algorithm is given to find the optimal cluster head. Finally, the experimental simulations show that the algorithms proposed in this paper can effectively improve the energy utilization of WSNs to ensure the intelligent management of a power materials warehouse.

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Section: Aco-based Sensor Association Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Zhong

et al. 2021

Energies

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“…Particle swarm optimization (PSO) algorithm is also a common algorithm used to solve the storage location assignment problem (Yang et al 2017;Kuo et al 2016;Zhao et al 2015). Therefore, we use PSO to solve our problem and compare the performance with GA.…”

Section: Particle Swarm Optimization (Pso) Algorithmmentioning

confidence: 99%

“…Pan et al (2015) developed a genetic based heuristic to solve storage assignment problem for a pick-and-pass system. Yang et al (2017) used an improved PSO algorithm for intelligent warehouses. Kuo et al (2016) developed a modified PSO and GA algorithm for solving the item assignment problem in synchronized zoning system.…”

Section: ．Introductionmentioning

confidence: 99%

Assignment of duplicate storage locations in distribution centres to minimise walking distance in order picking

Jiang

Liu

Dong

et al. 2020

International Journal of Production Research

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With the rapid development of e-commerce, the orders processed in B2C warehouses are characterized by heterogeneous and small volume. The traditional storage assignment strategies used in the picker-to-parts warehouses do not have advantage anymore. In this case, the scattered storage strategy is a good alternative. In this paper, we study a new scattered storage strategy which allows the same product to be placed in multiple storage locations. The correlation between products which reflects how frequently any two products will be ordered together in the same order is considered. The problem is formulated as a 0-1 integer programming model to minimize the weighted sum of distances between the products, with the weight being the elements of the correlation matrix. In order to solve large-scale problems, a GA and a basic PSO algorithm are developed. To improve solution quality, a new PSO algorithm based on the problem characteristic is designed and a hybrid algorithm combing it with GA is proposed. Experiments show that the solutions of these algorithms are close to the optimal solutions for the small-sale problems. For larger problems, the specially designed new PSO greatly improves solution quality as compared to the basic algorithms and the hybrid algorithm makes further improvement.

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Research on Slotting Optimization Based on MOEA/D

Chen

Tan

Shi

et al. 2023

Lecture Notes in Electrical Engineering

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Research on Location Assignment Model of Intelligent Warehouse with RFID and Improved Particle Swarm Optimization Algorithm

Cited by 6 publications

References 11 publications

Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Assignment of duplicate storage locations in distribution centres to minimise walking distance in order picking

Research on Slotting Optimization Based on MOEA/D

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