MATLAB Code for Solving Multi-Objective Optimization Problems
MATLAB code from a book for solving multi-objective optimization problems, featuring implementation of evolutionary algorithms and Pareto-based approaches
Integration Algorithm of NSGA-II and Differential Evolution (DE)
A hybrid algorithm combining NSGA-II and Differential Evolution for solving multi-objective optimization problems, featuring enhanced convergence and constraint handling capabilities
Differential-Based Multi-Objective Optimization Problem
Implementation of differential-based multi-objective optimization problem using sub-function approach
MATLAB Implementation for Multi-Objective Optimization Problems
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.
Multi-Objective Ant Lion Optimizer (ALO) Algorithm
The Ant Lion Optimizer (ALO) algorithm simulates the natural hunting mechanism of antlions. The five primary stages include ants' random walks, trap construction, entrapment of prey, prey capture, and trap reconstruction. This algorithm is particularly suitable for solving multi-objective optimization problems. The original implementation typically involves population initialization, fitness evaluation, and iterative position updates using roulette wheel selection and adaptive boundary shrinking mechanisms.
A Practical Example of Multi-Objective Genetic Algorithm for Solving Multi-Objective Optimization Problems
A practical implementation example of multi-objective genetic algorithm for solving multi-objective optimization problems, developed using MATLAB with detailed code descriptions
Multi-Objective Optimization Using Particle Swarm Optimization (PSO)
PSO-based multi-objective optimization problem with two objective functions sharing a common variable, including algorithm implementation approaches
MATLAB Code Implementation for Multi-Objective Optimization Problems
Multi-objective optimization applied to urban water supply scheduling, featuring algorithm selection and MATLAB implementation approaches
MATLAB Implementation of Multi-Objective Optimization Problems
Implementation approaches for multi-objective optimization in MATLAB with algorithm explanations and code implementation details