For MEng Capstone Modeling Dynamics of a Swarm

A metaheuristic optimizer in pure Julia.

a simple example of particle swarm optimization to solve for roots of an equation written in lua

Implementation of particle swarm optimization algorithm.

A cutting-edge implementation of Particle Swarm Optimization (PSO) tailored for navigating and optimizing complex non-convex functions. This project encapsulates an advanced algorithmic approach, leveraging swarm intelligence to efficiently converge on global minima in multimodal landscapes.

A algorithm modified for registration of point cloud using particle swarm optimization

Repository of Swarm Intelligence Course (CSH4X3) Assignment

An implementation of various meta-heuristics to solve a very large instance of the knapsack problem.

Optimization problem solving with PSO using Inspyred

Particle Swarm Optimization algorithm for the shortest path problem

Particle Swarm Optimization has been implemented to solve Booth and Beale functions.

A collection of Computational Intelligence(CI) algorithms written in C#.

Different optimization algorithms like Hill climbing, Simulated annealing, Late accepted Hill climbing , Genetic Algorithm is implemented from scratch.

Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.

Swarm Based Optimization for Mining Gradual Patterns

Train Multilayer Perceptron with Particle Swarm Optimization (PSO)

EvoESN: a neuroevolutionary framework for the Echo State Network model

deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks

Java (optimization) and Python (hypertuning, plots) code with implementation of many global random optimization methods written as part of my MSc in Data Science degree.