Differential Evolution MATLAB Code Implementation
Reference differential evolution source code from an international expert's homepage, featuring valuable algorithm implementation with detailed code explanations
Differential Evolution-Based Particle Swarm Optimization Algorithm
Differential Evolution-Based Particle Swarm Optimization (Global Best Particle Swarm Optimization) Algorithm
MATLAB Implementation of Basic Differential Evolution Algorithm
MATLAB implementation of the fundamental differential evolution algorithm, featuring vectorized operations for population handling and mutation strategies. Successfully debugged and tested in MATLAB 7.0 environment, demonstrating robust optimization performance through crossover and selection mechanisms.
LDPC Code Optimization Assistant
This algorithm serves as an efficient tool for LDPC code optimization. It implements differential evolution (DE) to optimize LDPC code degree distribution. Given a specific code rate, the algorithm automatically searches for optimal degree distributions through iterative population evolution. With relatively low computational complexity, it achieves near-optimal solutions while maintaining performance.
Algorithm for Solving Constrained Optimization Problems
A hybrid algorithm combining differential evolution, genetic algorithm, and particle swarm optimization for constrained optimization problems. This implementation successfully obtains optimal solutions for all 13 standard test functions from reference [7] (T.P. Runarsson and X. Yao, "Stochastic ranking for constrained evolutionary optimization," IEEE Trans. Evol. Comput., vol. 4, no. 3, pp. 284-294, Sep. 2000). The algorithm features constraint handling through stochastic ranking and adaptive parameter tuning. For technical inquiries, please visit http://2shi.phphubei.com
MATLAB Implementation of Differential Evolution Algorithm
Differential Evolution program with comprehensive code comments, allowing direct function modification and execution for optimization tasks
Code Collection for Differential Evolution and NSGA-II Algorithms
A comprehensive code implementation bundle featuring Differential Evolution for single-objective optimization and NSGA-II for multi-objective optimization scenarios