Intelligent Optimization Algorithms: Cuckoo Search Algorithm Implementation
Comprehensive explanation and Python implementation of the Cuckoo Search algorithm, including key algorithmic steps and optimization techniques
18 Test Function Programs for Intelligent Optimization Algorithms
A MATLAB-implemented collection of 18 test function programs designed for evaluating intelligent optimization algorithms
Implementation of Genetic Algorithm for 0/1 Knapsack Problem in MATLAB
This MATLAB program solves the 0/1 knapsack problem using genetic algorithm optimization. The algorithm selects items from n available objects to pack into a knapsack with capacity c, where each item i has weight w_i and value p_i. The solution ensures the total weight doesn't exceed capacity while maximizing total value. The implementation includes key genetic operators: crossover, mutation, and selection with fitness evaluation.
MATLAB Implementation of Differential Evolution Algorithm
MATLAB program for differential evolution algorithm, an intelligent optimization technique with robust global search capabilities
MATLAB Implementation of Intelligent Optimization Algorithms
Intelligent Optimization Algorithms: MATLAB Program for Ant Colony Algorithm - Complete Implementation for Beginner Learning
Intelligent Optimization Algorithm: Particle Swarm Optimization (PSO) Applied to Neural Network Optimization Programs
Intelligent Optimization Algorithm: Particle Swarm Optimization (PSO) implemented for neural network optimization. Features configurations with no hidden layer, one hidden layer, and two hidden layers. Execute DemoTrainPSO.m to run the demonstration. The program includes swarm initialization, velocity updates, and fitness evaluation using neural network error metrics. Code origin: Brian Birge NCSU.
Chicken Swarm Optimization (CSO) Algorithm Source Code
Complete Chicken Swarm Optimization (CSO) algorithm implementation with enhanced code annotations