Evaluation of Nature Inspired Metaheuristics for Search and Reconnaissance Operations by Rotary-wing Aircrafts

André M. Yokoyama, A. Mury, B. Schulze, Mariza Ferro
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Abstract

The main objective of this work is the evaluation of two nature inspired meta-heuristics, Genetic Algorithms and Ant Colony, for the development of an application that can generate optimized routes for aircraft, attending the requirements of the Brazilian Navy. This work presents the methods developed, complying with two main constraints: checkpoints mobility and limited aircraft autonomy. It also presents the results of tests performed with the methods developed and an evaluation of their performances.
旋翼飞机搜索侦察任务的自然启发元启发式评价
这项工作的主要目标是评估两种自然启发的元启发式方法,遗传算法和蚁群,用于开发一种应用程序,该应用程序可以为飞机生成优化路线,满足巴西海军的要求。这项工作提出了开发的方法,符合两个主要约束:检查点的机动性和有限的飞机自主性。它还介绍了用所开发的方法进行的测试结果和对其性能的评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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