采用自适应机制的改进型进化算法 Mole-Rat 用于紧急情况下的动态避障

V. V. Kureichik, V. Danilchenko
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引用次数: 0

摘要

本研究致力于在应用鼹鼠进化算法(MRA)的基础上改进紧急情况下的疏散策略。这项工作基于一种改进的动态避障机制,旨在提高基本 MRA 算法在从危险区域疏散时的效率。在紧急情况和危机日益增多的背景下,提供有效的疏散策略已成为一项紧迫而重要的任务。利用改进的动态避障机制实施 MRA 算法是一种相关方法,可提高实时疏散的效率和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified Evolutionary Algorithm Mole-Rat with an Adaptive Mechanism for Dynamic Obstacle Avoidance in Emergency Situations
The study is devoted to improving evacuation strategies in emergency situations based on the application of the evolutionary algorithm Mole-rat (mole colony algorithm) (MRA). The work is based on a modified dynamic obstacle avoidance mechanism designed to improve the efficiency of the basic MRA algorithm in the context of evacuation from hazardous areas. In the context of increasing emergencies and crises, providing effective evacuation strategies becomes a pressing and important task. The implementation of the MRA algorithm with a modified dynamic obstacle avoidance mechanism is a relevant approach that will improve the efficiency and safety of real-time evacuation.
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