Research on the Application of Swarm Intelligence Algorithms to the Fire Assignment

The fire assignment problem is a multi-parameter, multi-constraint NP (non-deterministic polynomial)-complete problem, the swarm intelligence algorithm has an inherent advantage in the solution, especially in the genetic algorithm, ant colony algorithm and particle swarm algorithm is the most repres...

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Bibliographic Details
Published in:International Conference on Big Data and Information Analytics (Online) pp. 429 - 435
Main Authors: Yin, Minglou, Pan, Xiaogang, Jiao, Yuanyuan, Li, Zhimeng
Format: Conference Proceeding
Language:English
Published: IEEE 15.12.2023
Subjects:
algorithms
Big Data
Decision making
fire assignment
Heuristic algorithms
Optimization
Particle swarm optimization
Resource management
swarm intelligence
Task analysis
ISSN:2771-6902
Online Access:Get full text
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Summary:The fire assignment problem is a multi-parameter, multi-constraint NP (non-deterministic polynomial)-complete problem, the swarm intelligence algorithm has an inherent advantage in the solution, especially in the genetic algorithm, ant colony algorithm and particle swarm algorithm is the most representative, but there are still some shortcomings, such as the lack of interpretability and the tendency to fall into local optimization, and this is the direction of the improvement of the strategy to improve the efficiency of the fire assignment, the intelligent decision-making is of great theoretical significance and practical application value.
ISSN:2771-6902
DOI:10.1109/BigDIA60676.2023.10429454