Modular Approach to Hybridization of Heuristic Algorithms for Spatial Optimization of Fire Units Placement

This article discusses a modular approach to hybridize heuristic algorithms for spatial optimization of fire unit placement. It proposes combining different algorithms such as genetic algorithm, simulated annealing algorithm, hill climbing algorithm, and others to effectively solve placement problems for fire units. The authors also explore using the Python programming language to implement these algorithms and present computational experiment results that validate the effectiveness of their proposed methodology. Finally, they suggest potential areas for future research and application of this approach in various fields.