A Fast Genetic Algorithm-based Evacuation Plan Generator | Zendy

Alaa S. Al Qhtani | Zendy; Alaa S. Al Shammari | Zendy; Heba Kurdi | Zendy

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A Fast Genetic Algorithm-based Evacuation Plan Generator

Author(s) -

Alaa S. Al Qhtani,

Alaa S. Al Shammari,

Heba Kurdi

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.437

Subject(s) - computer science , doors , generator (circuit theory) , genetic algorithm , plan (archaeology) , process (computing) , simulation , real time computing , operations research , algorithm , machine learning , operating system , power (physics) , physics , archaeology , quantum mechanics , engineering , history

Evacuation process is a critical problem, in which the evacuation time is an important issue. This paper presents an evacuation plan generator using the Genetic Algorithm (GA) to reduce the overall evacuation time. The proposed work guides the evacuees to suitable exit doors based on the entered facility configuration. The results obtained show that the overall evacuation time was reduced using our GA plan generator.

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