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)

An alternative Ceph placement optimizer, aiming for maximum storage capacity through equal OSD utilization.

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

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

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

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

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.

Generators for Combinatorial Optimization

Mock IPL auction - Automated decision making

The model of Policy Priority Inference

Genetic algorithm code for solving Travelling Salesman Problem

ArchGeo library code for the paper "Discrete Orthogonal Structures"

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

Solving TSP for Metric Graphs using MST Heuristic, and comparing the optimal solution with the approximation one

SDPLIB is a collection of semidefinite programming test problems.

Global Constrained optimization problem Generator

Gulp(CBC MILP) optimization and MLP(ANN) forecasting

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.