Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications.

ABSTRACT: Real-world optimisation problems are increasingly high-dimensional, nonlinear and constrained. The No Free Lunch theorem implies that no single optimiser dominates across all problem classes, making domain-specific metaheuristics indispensable. Yet mainstream population-based methods often converge prematurely and fail to balance exploration and exploitation under such complexity. To address these limitations, we propose the Basketball Team Optimisation Algorithm (BTOA), a sports-inspired metaheuristic. BTOA maps four basketball concepts-high-intensity training, fast breaks, dynamic positioning and coordinated passing-onto cooperative search operators. In addition, we introduce two extensible modules: (i)a dynamic positioning strategy guided by diagonal structures, significantly improving

SUBMITTER: Chen Y 

PROVIDER: S-EPMC12214561 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature