YPEA for MATLAB [+] is a general-purpose toolbox to define and solve optimization problems using Evolutionary Algorithms (EAs) and Metaheuristics. To use this toolbox, you just need to define your optimization problem and then, give the problem to one of the algorithms provided by YPEA, to get it solved. List of Provided Algorithms Currently, YPEA supports these algorithms to solve ...

Downloads The download link of this project follows. Implementation of Real-Coded Simulated Annealing (SA) in MATLAB Download Citing This Work If you wish, you can cite this content as follows. Cite as: Mostapha Kalami Heris, Real-Coded Simulated Annealing (SA) in MATLAB (URL: https://yarpiz.com/421/ypea106-real-coded-simulated-annealing), Yarpiz, 2015.

Downloads The download link of this project follows. MATLAB implementation of solving Capacitated Vehicle Routing Problem (VPR) using Simulated Annealing (SA) Download Citing This Work If you wish, you can cite this content as follows. Cite as: Mostapha Kalami Heris, Capacitated Vehicle Routing Problem (VRP) using SA (URL: https://yarpiz.com/372/ypap108-vehicle-routing-problem), Yarpiz, 2015.

Downloads The download link of this project follows. MATLAB implementation of solving Parallel Machine Scheduling using Simulated Annealing (SA) Download Citing This Work If you wish, you can cite this content as follows. Cite as: Mostapha Kalami Heris, Parallel Machine Scheduling using Simulated Annealing (URL: https://yarpiz.com/367/ypap107-parallel-machine-scheduling), Yarpiz, 2015.

Feature selection is one of common preprocessing tasks, which is performed to reduce the number of inputs of intelligent algorithms and models. This helps us to simplify the models, reduce the computation cost of model training, and enhance the generalization abilities of the model and prevention of over-training. For more information on feature selection concepts and methods, you can refer ...

Simulated Annealing (SA) is a metaheuristic, inspired by annealing process. SA starts with an initial solution at higher temperature, where the changes are accepted with higher probability. So the exploration capability of the algorithm is high and the search space can be explored widely. As the algorithm continues to run, the temperature decreases gradually, like the annealing process, and the ...