Explore MATLAB source code curated for "遗传算法" with clean implementations, documentation, and examples.
Multi-objective optimization using genetic algorithms with progressive reduction of offspring population size, ultimately stabilizing at 10 chromosomal individuals. This approach demonstrates efficient Pareto front convergence through controlled population dynamics.
Genetic Algorithm Applied to Robot Path Planning with Implementation Details
Genetic Algorithm Approximations for Optimization Problems
Multi-objective optimization with genetic algorithms, suitable for researchers studying multi-objective optimization problems with practical MATLAB code examples
This program utilizes genetic algorithms to optimize PID controller parameters, implementing evolutionary computation techniques for control system tuning.
This resource contains valuable MATLAB programs implementing genetic algorithms, featuring comprehensive code demonstrations for crossover, mutation, and selection operations with practical application examples.
MATLAB implementation of the multi-objective optimization algorithm NSGA-II using Genetic Algorithm (GA) with detailed code structure and algorithmic explanations
Research paper on FTR auction models considering wind power integration, featuring genetic algorithm source code implementation utilizing Monte Carlo simulation for comprehensive analysis and experimental validation.
Implementation of genetic algorithms using Prufer encoding to solve minimum spanning tree optimization problems with MATLAB code examples
Various optimization problems including Traveling Salesman Problem (TSP), postal route planning, nut assembly line sequencing, and production scheduling can be formulated as TSP instances. This MATLAB implementation utilizes genetic algorithm to solve TSP, featuring complete sub-functions for fitness calculation, selection operators, crossover operations, and mutation mechanisms with detailed code-level descriptions.