Explore MATLAB source code curated for "局部搜索" with clean implementations, documentation, and examples.
This approach utilizes genetic algorithms for global exploration and nonlinear programming for local refinement, achieving comprehensive global optimal solutions through hybrid optimization.
Shu-Chuan Chu drew inspiration from cats' daily behavioral patterns to propose the Cat Swarm Optimization (CSO) algorithm in 2006. The algorithm's key feature lies in its simultaneous execution of local and global searches during evolutionary processes, achieving remarkable convergence speed through a unique dual-mode search mechanism.
Provides comprehensive explanation and MATLAB implementation details for Tabu Search metaheuristic algorithm for combinatorial optimization problems