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Ant Colony Optimization Algorithm to Solve Electrical Cable Routing

机译:蚁群优化算法解决电缆路由

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Abstract Ant colony algorithms have been applied to solve wide range of difficult combinatorial optimization problems like routing problems, assigning problems, scheduling problems and revealed remarkable solutions. In this paper we are presenting a novel approach of ant colony optimization algorithm to solve the electrical cable routing problem. We have studied the objectives to optimize the cable routing and modified the ant colony system algorithm to get better solutions. This research focused on two objectives, route optimization and the obstacle avoidance. The results of this modified algorithm show an immense improvement in optimizing the electrical circuit designing in a building.
机译:摘要已经应用了蚂蚁殖民地算法来解决广泛范围的困难组合优化问题,如路由问题,分配问题,调度问题,并显示出显着的解决方案。在本文中,我们呈现了蚁群优化算法的新方法来解决电缆路由问题。我们已经研究了优化电缆路由并修改了蚁群系统算法以获得更好的解决方案。本研究专注于两个目标,路线优化和避免障碍。该修改算法的结果显示了优化建筑物中设计的电路的巨大改进。

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