A hybrid chemical reaction optimisation algorithm for solving 3D packing problem
by Yaru Su; Yanming Ye; Shuhao Chen; Wenshuo Yang
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 14, No. 1/2, 2021

Abstract: This paper combines the chemical reaction optimisation algorithm with the greedy algorithm to solve the three-dimensional bin packing problem (3D-BPP). Traditionally, the 3D-BPP is solved with algorithms based on particle swarm optimisation, genetic algorithm, or simulated annealing algorithm, etc. The chemical reaction optimisation algorithm is proposed in recent years, which has the advantages of traditional simulated annealing algorithm and has a faster convergence speed. After making appropriate adjustments to the chemical reaction optimisation algorithm, the experiment was performed on classic 320 examples. The results show that the proposed algorithm outperforms the existing algorithms such as greedy variable neighbourhood descent (GVND) and biased random key genetic algorithm (BRKGA).

Online publication date: Thu, 15-Apr-2021

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