langkhachhoha Goto Github PK

a-hybrid-ant-colony-algorithm

Code for "A hybrid ant colony algorithm based on multiple strategies for the vehicle routing problem with time windows" paper

amo-aco-gecco2024

amo-aco-inference

Inference phase for AMO-ACO to solve CVRPTW

amo-aco-model-gecco2024

Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows.

attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

data-science

Data Science Handbook

deepaco

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

evolution-algorithm

fpt_ai

Machine Learning in predictioning the atomization energies.

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

jampr

Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention

jampr_plus

Large Neighborhood Search based on Neural Construction Heuristics

langkhachhoha

Config files for my GitHub profile.

llm-as-hh

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

ml4vrp2023

Machine Learning for Evolutionary Computation - for Vehicle Routing Problems (ML4VRP) competition resources.

mso-ml4vrp-2024

mto-platform

Multi-Task Optimization Platform (MToP)

multitasking-optimization

Summary of Multitasking Optimization

pymsoo

tsp_drl_ptrnet

"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver

vrptw

Computational Logistics of the Vehicle Routing Problem with Time Windows. Comparative Review of application of the PSO and GA to the VRPTW.

wireless-sensor-network

Addressing the challenge of maximizing the count of targets that fulfill both K-coverage and K-connectivity requirements within a wireless sensor network (WSN) while maintaining a predetermined number of sensors

yarn

YaRN: Efficient Context Window Extension of Large Language Models