Principles and Applications of Genetic Algorithms
Introduction to the principles and applications of genetic algorithms, with implementation examples for solving job shop scheduling problems using MATLAB/Python-based approaches
Neural Network Optimization via Genetic Algorithm for Military Expenditure Forecasting
This program implements genetic algorithm optimization of neural networks to address military expenditure prediction through computational programming
Genetic Algorithm Image Segmentation
An image segmentation program utilizing genetic algorithms, delivering highly effective results for image partitioning tasks with optimized genetic operations and fitness evaluation.
Optimizing RBF Network Parameters Using Genetic Algorithms
Enhancing RBF Network Performance in Function Approximation by Applying Genetic Algorithms to Minimize Approximation Errors
Genetic Algorithm Optimization for BP Neural Network
MATLAB source code implementing genetic algorithm optimization for BP neural network weight parameters, providing an evolutionary approach to enhance neural network performance through global optimization techniques.
Genetic Algorithm Solution for CARP (Directed Multi-Chinese Postman Problem)
Genetic algorithm implementation for CARP with easily modifiable objectives and constraints. Based on the University of Sheffield Genetic Algorithm Toolbox - requires prior installation.
TSP Problem Solutions using Genetic Algorithm with Four Implementation Scenarios
Genetic Algorithm Implementation for TSP Problem with Four Distinct Cases: Multiple Traveling Salesmen Single Starting Point, Multiple Traveling Salesmen Multiple Starting Points, Single Traveling Salesman Using Point Coordinates Calculation, and Single Traveling Salesman Using Distance Matrix Calculation. Includes code implementation strategies and algorithm configurations.
Genetic Algorithm Optimization for Assembly Line Task Allocation
MATLAB source code implementation of genetic algorithm for optimizing assembly line tasks, finding optimal assembly paths to enhance production line efficiency and performance
Genetic Algorithm Enhanced with Immune Mechanism
Implementation of an improved genetic algorithm incorporating immune mechanisms for optimization problems.
Genetic Algorithm for Solving Optimization with Constraints
This code implements a genetic algorithm to solve optimization problems with constraints and is ready for immediate execution.