Explore MATLAB source code curated for "目标函数" with clean implementations, documentation, and examples.
Improved Ant Colony Optimization-based path planning system with customizable objective functions and parameters, delivering superior accuracy compared to basic ACO implementations through optimized search mechanisms and multi-factor integration
This program is a MATLAB toolbox for calculating optimal power flow, effectively solving OPF problems with different objective functions through robust optimization algorithms.
Microgrid multi-objective dispatch optimization employing an enhanced multi-objective particle swarm algorithm with three objective functions including economic efficiency
Dynamic code demonstration of particle swarm optimization algorithm locating the global minimum of an objective function. The implementation allows customization by modifying the target function definition to solve various optimization problems, with particles adjusting positions through velocity updates and neighborhood communication.
PSO (Particle Swarm Optimization) for solving two-objective function extremum problems, ideal for beginners in multi-objective optimization with practical code implementation insights
Adaptive Genetic Algorithm - Basic Version with Customizable Objective Function Implementation
A MATLAB library for rough set attribute reduction (contains examples, original implementation) featuring core M-file functions: TargetOptFcn.m - objective function for genetic algorithm optimization; PositiveRegion.m - computes positive region; LowerApproximation.m - calculates lower approximation; IsSub.m - determines if set A is a subset of set B; EquivalentClassSet.m - generates all equivalence classes based on R-classification (U/R); EleEquivalentSet.m - computes equivalence classes containing specific elements; DependencyDegree.m - calculates dependency degree between attributes
Application Background: Superpixel segmentation serves as a critical component in numerous computer vision applications including object recognition, image segmentation, and single-view 3D reconstruction. A superpixel is generally defined as a perceptually uniform region within an image.
MATLAB implementation of multi-objective optimization using genetic algorithms to solve dual-objective optimization problems with customizable objective functions and evolutionary computation parameters.
Multi-population genetic algorithm implementation featuring migration operator, artificial selection operator, objective function, standard GA and multi-population GA main functions. Ideal for swarm intelligence beginners, this represents a classic algorithmic case study with practical code implementations.