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Improved Whale Simulated Annealing Algorithm for Optimizing the Fill Rate of Bin Packing
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Hao-yu CHEN1, Jing LUO1, *, Hao-quan YANG2, Ren-yu FENG3, Rui-bo YUAN1, Yu GAN4
Science Technology and Engineering | 2025, 25(15) : 6477 - 6485
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Science Technology and Engineering | 2025, 25(15): 6477-6485
Papers·Traffics and Transportations
Improved Whale Simulated Annealing Algorithm for Optimizing the Fill Rate of Bin Packing
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Hao-yu CHEN1, Jing LUO1, *, Hao-quan YANG2, Ren-yu FENG3, Rui-bo YUAN1, Yu GAN4
Affiliations
  • 1 Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
  • 2 Yunnan Soft Control Technology Co., Ltd., Kunming 650031, China
  • 3 Shanghai Tobacco Group Co., Ltd., Shanghai 200090, China
  • 4 Kunming Oumai Technology Co., Ltd., Kunming 650106, China
Published: 2025-05-28 doi: 10.12404/j.issn.1671-1815.2403295
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A mathematical model was established to address the multi-constraint, large-scale three-dimensional bin packing problem. A hybrid metaheuristic algorithm combining an improved whale algorithm with simulated annealing was proposed. The algorithm discretized the whale algorithm, including individual encoding and updating mechanisms, and utilized simulated annealing to overcome local optima traps. Moreover, a heuristic loading rule was designed for decoding and optimizing the packing solution. The algorithm was evaluated using standard packing instances from Bischoff and Ratcliff's OR-Library, as well as real-world cargo order data, covering a range of cargo types from weakly heterogeneous to strongly heterogeneous. The proposed algorithm achieved a balance between global and local search capabilities, resulting in high packing efficiency for various types of containers. Specifically, the average container filling rate were 92.24% for weakly heterogeneous cargo, 88.78% for strongly heterogeneous cargo, and an overall average of 91.29%. This result provides valuable insights and references for the study of three-dimensional bin packing problems.

3D Bin packing  /  improved whale algorithm  /  simulated annealing algorithm  /  heuristic loading rules
Hao-yu CHEN, Jing LUO, Hao-quan YANG, Ren-yu FENG, Rui-bo YUAN, Yu GAN. Improved Whale Simulated Annealing Algorithm for Optimizing the Fill Rate of Bin Packing[J]. Science Technology and Engineering, 2025 , 25 (15) : 6477 -6485 . DOI: 10.12404/j.issn.1671-1815.2403295
Year 2025 volume 25 Issue 15
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Article Info
doi: 10.12404/j.issn.1671-1815.2403295
  • Receive Date:2024-05-06
  • Online Date:2025-07-09
  • Published:2025-05-28
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  • Received:2024-05-06
  • Revised:2024-08-01
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Affiliations
    1 Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
    2 Yunnan Soft Control Technology Co., Ltd., Kunming 650031, China
    3 Shanghai Tobacco Group Co., Ltd., Shanghai 200090, China
    4 Kunming Oumai Technology Co., Ltd., Kunming 650106, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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