This MATLAB project demonstrates the application of a Genetic Algorithm (GA) for curve fitting. Curve fitting involves finding a mathematical function that best approximates a given set of data points ...

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, ...

2 METHODOLOGY 2.1 Genetic Algorithm According to the Matlab R2015a documentation [25], the steps for solving an optimization problem via GA are as follows: i The algorithm creates an initial random ...

MATLAB offers a range of optimization tools and methods that can help you achieve your design goals, such as the Optimization Toolbox, the Global Optimization Toolbox, or the Genetic Algorithm and ...

Airfoil optimization is an important subject for wind turbines in order to increase the flow efficiency along the blade sections. The first important subject for airfoil shape optimization is the ...

Optimum design of cable stayed bridges depends on number of parameters. Design of Cable stayed bridge satisfying all practical constraints is challenging to the designers. Considering the huge number ...

An optimization method combining a genetic algorithm and the paralleling discrete ordinate code is developed and applied to the shielding design of the Savannah reactor. Several approaches are studied ...

Vinod Saini, Sanchit Singh, Shivaram NV, Himanshu Jain, Genetic Algorithm Based Gear Shift Optimization for Electric Vehicles, SAE International Journal of Alternative Powertrains, Vol. 5, No. 2 (July ...

The recently developed KIVA-GA computer code was used in the current study to optimize the combustion chamber geometry of a heavy-duty diesel truck engine and a high-speed direct-injection (HSDI) ...