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Optimization of agricultural product storage using real-coded genet... |
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by Wayan Firdaus Mahmudy, Nindynar Rikatsih, Syafrial |
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The storage of fresh agricultural products is a |
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combinatorial problem that |
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should be solved to to maximize number of items in the |
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storage and also |
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maximize the total profit without exceed the capacity of |
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storage. The |
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problem can be addressed as a knapsack problem that can |
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be classified as |
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NP-hard problem. We propose a genetic algorithm (GA) |
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based on sub-population determination to address the |
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problem. Sub-population GA can |
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naturally divide the population into a set of sub- |
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population with certain |
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mechanism in order to obtain a better result. GA based on |
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sub-population is |
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applied by generating a set of sub-population which is |
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happened in the |
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process of initializing population. A special migration |
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mechanism is |
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developed to maintain population diversity. The |
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experiment shows GA |
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based on sub-population determination provide better |
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results comparable to |
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those achieved by classical GA. |
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Date Published: 2022-09-01 06:06:52 |
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Identifier: 04-21743-1570762997 |
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Item Size: 7898532 |
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Language: eng |
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Media Type: texts |
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# Topics |
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Agricultural product |
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Genetic algorithm |
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Knapsack problem |
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Migration |
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Sub-population |
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# Uploaded by |
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@iaes_ijai |
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