GitHub - devosmitachatterjee2018/Stochastic_Optimization_Algorithms: The project involves the implementation of classical optimization methods such as gradient descent and penalty methods, evolutionary algorithms such as genetic algorithm, particle swarm optimization, and ant colony optimization in the solution of optimization problems.

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Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
Home Problems Set 1 Problem 1.1		Home Problems Set 1 Problem 1.1
Home Problems Set 1 Problem 1.3		Home Problems Set 1 Problem 1.3
Home Problems Set 2 Problem 2.1b		Home Problems Set 2 Problem 2.1b
Home Problems Set 2 Problem 2.1c		Home Problems Set 2 Problem 2.1c
Home Problems Set 2 Problem 2.1d		Home Problems Set 2 Problem 2.1d
Home Problems Set 2 Problem 2.2		Home Problems Set 2 Problem 2.2
Introductory Programming Problem		Introductory Programming Problem

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The project involves the implementation of classical optimization methods such as gradient descent and penalty methods, evolutionary algorithms such as genetic algorithm, particle swarm optimization, and ant colony optimization in the solution of optimization problems.

genetic-algorithm evolutionary-algorithms gradient-descent ant-colony-optimization particle-swarm-optimization convex-functions classical-optimization-methods lagrange-multiplier-method penalty-methods