Borrar filtros
Borrar filtros

suggest me on implementing a genetic algorithm or a similar heuristic to determine the best charging station locations based on this data

3 visualizaciones (últimos 30 días)
I'm exploring heuristic algorithms in MATLAB for finding the optimal placement of charging stations within a limited number of locations, considering the power demand at different points in my distribution system. Can anyone suggest me on implementing a genetic algorithm or a similar heuristic to determine the best charging station locations based on this data

Respuesta aceptada

recent works
recent works el 30 de Nov. de 2023
% Assuming powerDemand is available and represents demand distribution
% Assuming calculateFitness function is defined to calculate fitness based on demand and station placement
% Parameters
numStationsAllowed = 3; % Example: Maximum 3 stations allowed
populationSize = 50;
maxGenerations = 100;
% Define fitness function
fitnessFunc = @(x) calculateFitness(x, powerDemand);
% Use genetic algorithm to find optimal station placement
options = optimoptions('ga', 'PopulationSize', populationSize, 'MaxGenerations', maxGenerations);
bestSolution = ga(fitnessFunc, numel(powerDemand), [], [], [], [], zeros(1, numel(powerDemand)), ones(1, numel(powerDemand)), [], options);
disp('Optimal Charging Station Placement:');
disp(bestSolution);

Más respuestas (0)

Categorías

Más información sobre Genetic Algorithm en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by