Genetic Algorithms for Solving Constrained Optimization Problems
Genetic Algorithms Approach to Constrained Optimization: General Methodology, Encoding Design, and Implementation Framework
Niche Genetic Algorithm for Optimization Problems
Application of Niche Genetic Algorithm in optimization problems demonstrates superior performance compared to standard Genetic Algorithms
MATLAB Code Implementation for Optimization
Optimization with MATLAB Toolbox for Various Optimization Problems including algorithm implementations and function examples
Genetic Algorithm
Implementation of Optimization Problems in Swarm Intelligence Algorithms
Function Optimization Using Penalty Function-Based Particle Swarm Algorithm
Since the establishment of bionics in the mid-1950s, researchers have begun developing bio-inspired algorithms to solve complex optimization problems. These algorithms simulate evolutionary mechanisms and include Simulated Annealing (SA), Seeker Optimization Algorithm (SOA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithms (GA). Notable contributions include Professor J.H. Holland's GA from University of Michigan, Rechenberg's Evolution Strategy, and Fogel's Evolutionary Programming.
Grasshopper Optimization Algorithm: A Bio-Inspired Approach to Optimization Problems
This algorithm solves optimization problems by mathematically modeling and simulating the behavior of grasshopper swarms in nature. Full credit is reserved for the original creators. The implementation typically involves position updates based on social interaction, gravity force, and wind advection components.
MATLAB Implementation of Immune Algorithm: Code Structure and Optimization Strategies
MATLAB code implementation of immune algorithm with detailed explanations of algorithmic steps and key functions for optimization problems
Fast Reconstruction Algorithms for Compressed Sensing
High-speed signal reconstruction methods for compressed sensing applications
A Simple Example of LMI Solving Problems
A Simple Example of LMI Solving Problems with Code Implementation Details
Ant Colony Optimization Algorithm for Solving Optimal Problems
Ant Colony Optimization Algorithm Suitable for Optimal Problem Solving with Implementation Details