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Solving NP-Complete problems using Genetic Algorithms and Evolution Strategy for my Computational Intelligence course. In the first problem, I have solved the Steiner Tree Problem using Genetic Algorithms. The second problem is an optimization problem, I have implemented an ES algorithm to find the global minimum of the Eggholder function. For the final problem, I have implemented a GA to find an answer for a Constraint Satisfaction Problem (CSP).

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eggholder genetic-algorithms constraint-satisfaction-problem optimization-problem ga-algorithm

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Computational Intelligence Programming Task

Solving NP-Complete problems using Genetic Algorithms and Evolution Strategy for my Computational Intelligence course. In the first problem, I have solved the Steiner Tree Problem using Genetic Algorithms. The second problem is an optimization problem, I have implemented an ES algorithm to find the global minimum of the Eggholder function. For the final problem, I have implemented a GA to find an answer for a Constraint Satisfaction Problem (CSP).

This is how the ES that I have implemented approximates the global minimum of the Eggholder function (actual global minumum: f(512, 404.2319) = -959.6407)

Computational Intelligece - Evolution Strategy © Arash Hajisafi

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