Surrogate Model Optimization Toolbox
Surrogate Model Optimization Toolbox: An advanced computational toolkit for solving complex optimization problems using surrogate modeling techniques.
Explore MATLAB source code curated for "optimization" with clean implementations, documentation, and examples.
Surrogate Model Optimization Toolbox: An advanced computational toolkit for solving complex optimization problems using surrogate modeling techniques.
The Optimization Toolbox provides comprehensive mathematical optimization solvers and algorithms for linear programming, quadratic programming, nonlinear programming, and mixed-integer optimization problems with code implementation support.
A sophisticated MATLAB program implementing polar codes with optimization capabilities, featuring configurable parameters and performance analysis tools for digital communication systems.
MATLAB source code implementation for the Teaching-Learning Based Optimization (TLBO) algorithm, featuring parameter configuration and optimization problem adaptation.
An in-depth exploration of the bat algorithm for optimization problems, including its biological inspiration, core mechanisms, and practical implementation approaches with code considerations.
A Binary Particle Swarm Optimization (BPSO) approach for optimal placement and sizing of capacitor banks in radial distribution feeders under distorted substation voltage conditions, featuring algorithm implementation with position/size encoding and fitness evaluation.
Intelligent maximum power point tracking (MPPT) implementation using fuzzy logic control for photovoltaic systems, featuring adaptive rule-based optimization under varying environmental conditions.
Implementation and simulation of Particle Swarm Optimization (PSO) algorithm for Maximum Power Point Tracking (MPPT) in wind energy conversion systems
Unsupervised Iterative Conditional Modes Algorithm for Markov Random Fields with Code-Level Implementation Details
Optimizing capacitor placement in electrical distribution networks using computational methods to minimize power losses and enhance voltage stability.