Optimal packaging problems occur in many industries and lend themselves to be analyzed by computer-based approaches due to their fast and effective solutions. Unlike other packaging in commercial industries, turret packaging has been done mainly by hand because positioning equipment within the turret with crew is hard to be automated. However, recent development of automated ammunition loading system makes crew unnecessary in turret and this makes it possible to automate the packaging process. This paper introduces a computational methodology that uses genetic algorithms as a search algorithm and solves tank turret packaging problems by integrating part placements with performance analysis of design requirements.

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