Aircraft route optimization using adaptive simulated annealing

K. Kastella
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引用次数: 2

Abstract

It is demonstrated that simulated annealing (SA) is a viable optimization method for use in route optimization for aircraft flying in tactical attack roles at low altitude deep in enemy territory. It is found that adaptive control of the temperature based on a heuristic measure of equilibrium greatly reduces the algorithm's sensitivity to the cooling rate while giving a 5- to 10-fold speed-up with no adverse impact on the quality of the solutions produced. These results scale nearly linearly with problem size.<>
基于自适应模拟退火的飞机航线优化
仿真结果表明,模拟退火算法是一种可行的优化方法,可用于低空深入敌境执行战术攻击任务的飞机航路优化。研究发现,基于启发式平衡测量的温度自适应控制大大降低了算法对冷却速率的敏感性,同时给出了5到10倍的加速,而对产生的解决方案的质量没有不利影响。这些结果几乎与问题规模成线性关系。
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