A dual-adaptive stochastic reinforcement chimp optimization algorithm for fire detection and multidimensional problem solving.

ABSTRACT: Chimp optimization algorithm (CHOA) is a recently developed nature-inspired technique that mimics the swarm intelligence of chimpanzee colonies. However, the original CHOA suffers from slow convergence and a tendency to reach local optima when dealing with multidimensional problems. To address these limitations, we propose TASR-CHOA, a twofold adaptive stochastic reinforced variant. The TASR-CHOA algorithm integrates two novel methodologies: a stochastic approach to improve the speed at which convergence is achieved and a dual adaptive weighting approach to optimize the exploration of early patterns, which refer to initial trends or behaviors in the algorithm's convergence process during the early stages of iterations and the exploitation of subsequent tendencies, indicating how these init

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC11682094 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature