MATLAB Code Implementation of Genetic Algorithm
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In this article, we present the implementation of genetic algorithms in MATLAB. We provide program source codes for various genetic operations to help readers deeply understand and apply this algorithm. Genetic algorithm is an optimization technique that simulates biological evolution processes, finding optimal solutions by mimicking natural selection and genetic variation. Our implementation includes core components such as population initialization, fitness evaluation, tournament selection, single-point crossover, and mutation operators. Through the provided source code, you can learn and practice genetic algorithms, applying them to solve various optimization problems. The code demonstrates key MATLAB functions including array manipulation, logical operations, and iterative optimization techniques. We hope this article proves beneficial for your learning and research endeavors!
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