GCS-Q is a coalition structure generation algorithm for induced subgraph games
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Updated
Nov 18, 2024 - Jupyter Notebook
GCS-Q is a coalition structure generation algorithm for induced subgraph games
Simulated annealing which uses thermodynamics of the landscape to escape local minima and works amazingly on discrete combinatorial problems
Hvala: Approximate Vertex Cover Solver
Code written for lectures and homework in USC CSCI570-Analysis-of-Algorithms Course 🚀🚀🚀
Solving the N x T Scaling Collapse and other NP-Hard Search Problems via Aperture-Integral Calculus.
Salvador: Approximate Vertex Cover Solver
Proof of Concept — Universal Optimization Engine (QαT)
This repository contains the code used in the CS301 (Algorithms) Project which discusses the Maximum Independent Set Problem
Hybrid quantum optimization for Max-Cut and VRPTW using QUBO, QAOA, Simulated Annealing, and Google OR-Tools. QAIG Optimization Screening Assignment implemented with Qiskit and modular Python architecture.
Selected graph problems for MC558
Esperanza: Approximate Independent Set Solver
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