Optimization of Airfoil Lift-to-Drag Ratio Using Genetic Algorithm (GA) and Simulated Annealing (SA) Based on Neural Networks and Derivative-Free Algorithms

Optimization of Airfoil Lift-to-Drag Ratio Using Genetic Algorithm (GA) and Simulated Annealing (SA) Based on Neural Networks and Derivative-Free Algorithms

Click the blue text above to follow us 1 Overview Source: This article optimizes the lift-to-drag ratio of airfoils using Genetic Algorithm (GA) and Simulated Annealing (SA) based on a pre-trained Convolutional Neural Network (CNN) as the evaluation function. Abstract: Airfoil shape optimization is a fundamental part of airfoil design in the field of aerodynamic … Read more

Workshop Scheduling Optimization Based on Simulated Annealing Algorithm: MATLAB Simulation, Gantt Chart Output, and Optimization Convergence Curve

Workshop Scheduling Optimization Based on Simulated Annealing Algorithm: MATLAB Simulation, Gantt Chart Output, and Optimization Convergence Curve

🌠This work includes the program, Chinese comments, references, and a program operation video.🚀Software versions: Matlab 2024b/Matlab 2022a🌠Program acquisition method Click the bottom left corner of WeChat to read the original text 💥Program test results displayThe simulation test results are as follows:✨Algorithm Overview In the field of modern optimization algorithms, the Simulated Annealing (SA) algorithm stands … Read more

Genetic Simulated Annealing Clustering Algorithm Based on MATLAB

Genetic Simulated Annealing Clustering Algorithm Based on MATLAB

The genetic simulated annealing clustering algorithm based on MATLAB. The simulated annealing part recalculates the fitness of individuals after genetic operations and replaces old individuals with a certain probability to form a new population. This integrates genetic algorithms and simulated annealing algorithms to overcome the shortcomings of genetic algorithms in local search capability, achieving a … Read more

Vehicle Routing Problem Solved by Simulated Annealing in MATLAB

Vehicle Routing Problem Solved by Simulated Annealing in MATLAB

Click the blue text above to follow us 1 Vehicle Routing Problem In equations (9)~(12), ti is the time the delivery vehicle arrives at demand point i; cij is the transportation cost from demand point i to demand point j; wi and pi are the waiting cost and penalty cost per unit time for the … Read more