Explore MATLAB source code curated for "混合蛙跳算法" with clean implementations, documentation, and examples.
An improved version of SFLA (Shuffled Frog Leaping Algorithm) implemented in MATLAB, featuring simplified code structure and practical applications. This implementation includes optimized local search mechanisms and global information exchange between frog groups. Available for download with detailed documentation.
The Shuffled Frog Leaping Algorithm (SFLA) is a novel optimization technique in evolutionary computing, originally introduced by Eusuff and Lansey in 2003 to address combinatorial optimization problems. This population-based metaheuristic mimics frog behavior with memetic evolution and cooperative search strategies.
Evaluation of SFLA clustering performance through real-world datasets with graphical illustrations demonstrating algorithm effectiveness, including implementation insights and key parameter configurations.
A MATLAB program demonstrating the Hybrid Frog Leaping Algorithm, featuring comprehensive code explanations and implementation details particularly beneficial for beginners in optimization algorithms.
Swarm Intelligence and Bio-inspired Computing - MATLAB Implementation of Hybrid Frog Leaping Algorithm Code with Technical Execution Details
Tested and functional MATLAB implementation of the hybrid frog leaping algorithm with code optimization insights
MATLAB code implementation of the Shuffled Frog Leaping Algorithm with detailed algorithmic explanation