Abhay Sobhanan's starred repositories
RoutingBlocks
A modular Python package for the development of metaheuristic algorithms for Vehicle Routing Problems with Intermediate Stops
JuliaTutorials
Learn Julia via interactive tutorials!
DistributedEvolutionaryComputation
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
awesome-PhD
All the resources I wish I knew when starting my PhD. This repository is aimed to be a living, constantly developing resource where everybody can contribute with new resources!
phd-resources.github.io
Not the research toolkit you deserve, but the one you need right now
pyconcorde
Python wrapper around the Concorde TSP solver
Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Knapsacks.jl
Julia package to solve Knapsack problems
DeepRL-BiobjectiveKP
This repository maintains the codes and test instances used in he paper entitled "Solving Hard Bi-objective Knapsack Problems Using Deep Reinforcement Learning" Br. Dr. Hadi Charkhgard and His co-authors
postman_problems
Graph optimization solvers for the Postman Problems
TravelingSalesmanExact.jl
Solve the travelling salesman problem using a mixed integer optimization algorithm with JuMP
Metaheuristics.jl
High-performance metaheuristics for optimization coded purely in Julia.
MultiObjectiveAlgorithms.jl
A Julia package for solving multi-objective optimization problems
pdptw-instances
Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
TSPDroneHGATAC.jl
A package that uses Hybrid Genetic Algorithm to solve any TSPD or FSTSP instance
HRL-for-combinatorial-optimization
Hierarchical deep reinforcement learning for combinatorial optimization problem
cvrp-decomposition
Decomposition Strategies for Vehicle Routing Heuristics
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL