A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Efficient Ceph placement optimization, aiming for maximum storage capacity through equal OSD utilization.

This repository contains code with tutorials of how to approach optimization problems using quantum computing.

A powerful bin packing problem solver for any polygons

Optimize revenues through pricing algorithm in python - Demand with uniform distribution

EARS is a free and open-source Java-based framework for ranking, developing, and experimenting with single- and multi-objective evolutionary algorithms

Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.

Optimization of aircraft short-term trajectories, parameterized using B-splines.

ArchGeo library code for the paper "Discrete Orthogonal Structures"

Generators for Combinatorial Optimization

Feasibility study on using mixed-integer-linear programming for solving optimal pump scheduling problem in water distribution networks.

Transportation Model for an optimal strategy for distributing a commodity from a group of supply centers to various receiving centers. Solved in C# Windows Form Application

SDPLIB is a collection of semidefinite programming test problems.

The model of Policy Priority Inference

Mock IPL auction - Automated decision making

This repository holds the content for the GECCO 2025 competition on evolutionary algorithms for Earth Observations Satellite Scheduling!

A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)

Project to Solve a SVM fitting problem in MATLAB using a consensus distributed ADMM approach and CVX. Two SMW has been trained and tested on different datasets.

This is CVXPY implementation of convex optimization additional problems