Genetic Algorithm (GA) is a population-based optimization algorithm inspired by the process of natural selection and evolution. In GA, a population of candidate solutions, represented as chromosomes, ...

This repository contains MATLAB implementations of various optimization algorithms for energy management and optimization. These algorithms are intended to be used in the context of energy consumption ...

Solutions for both constrained and unconstrained problems of optimization pose a challenge from the past till date. The genetic algorithm is a technique for solving such optimization problems based on ...

We used genetic programming to evolve a direct search optimization algorithm, similar to that of the standard downhill simplex optimization method proposed by Nelder and Mead (1965). In the training ...

Abstract To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional lightweight design of aircraft structures, and to improve optimization ...