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.

Branches Tags

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

About

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.

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