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| Ant Colony-Simulated Annealing Algorithm of Aviation Project Resource Leveling and Optimizing Problems |
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Abstract To raise the utilization efficiency of aviation project resources and reduce project cost, an ant colony-simulated annealing optimization to solving the problem of network plan resource leveling and optimizing is proposed. Firstly, the project hierarchical network plan are incorporated by using the pretreatment algorithm, and a object function for optimizing resources is established considering the relationship of resource index and the overlapping network. Secondly, the key-space-constructing method of ant colony-simulated annealing arithmetic based on network plan is discussed. Besides, the rules of arithmetic’s state-shift, pheromone updating and the effectively simulated-annealing-local-search-strategy are proposed, and a detailed approach for resource leveling and optimizing is established. Finally, the arithmetic is illustrated by using representative instance.
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2010, 
