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What is Genetic Algorithms for Optimization Techniques about?

Genetic algorithms (GA) are optimization techniques modeled after biological evolution. GA use operations like selection, crossover and mutation to generate new candidate solutions. GA work on a population of potential solutions, evaluating their fitness to find optimal solutions. First, an initial population is created randomly. Then, the fitness of each solution is evaluated. Genetic operations like crossover and mutation create a new population, with selection favoring fitter solutions. This process repe

Author

Suresh K Damodaran

Language

EN