Improved Heuristic Search Algorithm for Multi-Vehicle and Multi-Cargo Loading Problem

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This paper studies multi-vehicle and multi-cargo loading problem under the limited loading capacity. According to the characteristics of model, improved Heuristic Search Algorithm is used to get the optimization solution. Firstly, on the basis of cubage-weight balance algorithm, construct initial solution to improve the feasibility. Secondly, adopt the operations of 1-exchange and 2-opt* to fasten the speed of convergence and boost the search efficiency. Finally, the good performance of this algorithm can be proved by experiment calculation and concrete examples.

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2289-2292

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] C. Francois, C. Jacques, M. Aziz. A new exact method for the two-dimensional orthogonal packing problem. European Journal of Operational Research, Vol. 183(2007), pp.1196-1211.

DOI: 10.1016/j.ejor.2005.12.048

Google Scholar

[2] Seheithauer G, Sommerweib U. 4-Bloek heuristic for the rectangle Packing Problem. European Journal of Operational Research, Vol. 108(1998), pp.509-526.

DOI: 10.1016/s0377-2217(96)00359-1

Google Scholar

[3] Pisinger, D. Heuristics for the container loading problem. European Journal of Operational Research, Vol. 141(2002), pp.382-392.

DOI: 10.1016/s0377-2217(02)00132-7

Google Scholar

[4] M. Hifi, R. M Hallah, A hybrid algorithm for the two-dimensional layout problem: the cases of regular and irregular shapes. International Transactions in Operational Research, Vol. 10(2003), pp.1-22.

DOI: 10.1111/1475-3995.00404

Google Scholar

[5] Leung T W, Chan Chi Kin, Troutt Marvin D. Application of a mixed simulated annealing-genetic algorithm heuristic for the two-dimensional orthogonal packing problem. European Journal of Operational Research, Vol. 145(2003), pp.530-542.

DOI: 10.1016/s0377-2217(02)00218-7

Google Scholar

[6] Leo Ho Wai Yeung, Wallace K. S. Tang. A Hybrid Genetic Approach for Container Loading in Logistics Industry. IEEE Transactions on Industrial Electronics, Vol. 52(2005), pp.617-627.

DOI: 10.1109/tie.2005.844224

Google Scholar

[7] Cao Hong-mei, Gao Li, Wang Su-xin. Cargo-loading Problem Based on Improved Particle Swarm Optimization Algorithm. Control Engineering of China, Vol. 15(2008), pp.107-109, in Chinese.

Google Scholar