Abstract
paper presents a modified artificial bee colony for solving the container loading problem because the cost can be reduced by increasing the space utilization ratio. This problem is solved in a two phased a Modified Artificial Bee Colony Optimization (MABCO) and a Wall-building approach. In the first phase, MABCO with its probabilistic decision rule is used to construct a sequence of boxes. The boxes are then arranged into a container with the Wall-building heuristic in the second phase. The nectar information feedback of MABCO using neighborhood updating rule helped to improve the solutions. Computational experiments were conducted on benchmark data set and the results obtained from the proposed approach are shown to be comparable with other methods from the literatures. General Terms Artificial Bee Colony, Container Loading Problem Keywordsproblem; Container loading; Bee colony; Wall- building; Meta-heuristic
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