Lulustudy1

Lulustudy1's Stars

• enzoruiz/3dbinpacking

  A python library for 3D Bin Packing

  Language:Python347143287

• alexfrom0815/Online-3D-BPP-DRL

  This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

  Language:Python29872068

• taoran1998/-

  研学社

  1460013

• Valdecy/pyCombinatorial

  A library to solve the TSP (Travelling Salesman Problem) using Exact Algorithms, Heuristics and Metaheuristics : 2-opt; 2.5-opt; 3-opt; 4-opt; 5-opt; 2-opt Stochastic; 2.5-opt Stochastic; 3-opt Stochastic; 4-opt Stochastic; 5-opt Stochastic; Ant Colony Optimization; Bellman-Held-Karp Exact Algorithm; Branch & Bound; BRKGA (Biased Random Key Genetic Algorithm); Brute Force; Cheapest Insertion; Christofides Algorithm; Clarke & Wright (Savings Heuristic); Concave Hull Algorithm; Convex Hull Algorithm; Elastic Net; Extremal Optimization; Farthest Insertion; Genetic Algorithm; GRASP (Greedy Randomized Adaptive Search Procedure); Greedy Karp-Steele Patching; Guided Search; Hopfield Network; Iterated Search; Karp-Steele Patching; Multifragment Heuristic; Nearest Insertion; Nearest Neighbour; Random Insertion; Random Tour; Scatter Search; Simulated Annealing; SOM (Self Organizing Maps); Space Filling Curve (Hilbert); Space Filling Curve (Morton); Space Filling Curve (Sierpinski); Stochastic Hill Climbing; Sweep; Tabu Search; Truncated Branch & Bound; Twice-Around the Tree Algorithm (Double Tree Algorithm); Variable Neighborhood Search.

  Language:Python1064215

• jiujiuxia/GOC-EVRPTW

  JD 城市物流运输车辆智能调度

  Language:Python1013334

• WHUzxp/Reprinted_Applied_Energy

  复刻论文Applied Energy的论文A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles，包含考虑电动汽车有序充放电的机组组合和最优潮流

  Language:MATLAB701219

• alberto-santini/adaptive-large-neighbourhood-search

  ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.

  Language:C++635130

• zll-hust/ALNS_VRPTW

  Adaptive large neighbourhood search (ALNS) algorithm for vehichle routing problem with time windows (VRPTW)

  Language:Java571116

• wangqianlongucas/ALNS

  this is a repository for ALNS

  Language:Python425

• zaycev/vrptw

  An application for solving vehicle routing problems with time windows (VRPTW)

  Language:C#294310

• xNok/OR_location_routing_problem_study

  Facility Location and routing problems: Survey, Models and Algorithm

  Language:Jupyter Notebook26407

• ShadowOS/Vechicle-Routing-Problem-VRP-with-Pickup-and-Delivery

  Pickup-and-Delivery Problems (PDPs) constitute an important family of routing problems in which goods or passengers have to be transported from different origins to different destinations. These problems are usually defined on a graph in which vertices represent origins or destinations for the different entities (or commodities) to be transported. PDPs can be classified into three main categories according to the type of demand and route structure being considered. In many-to-many (M-M) problems, each commodity may have multiple origins and destinations and any location may be the origin or destination of multiple commodities. These problems arise, for example, in the repositioning of inventory between retail stores or in the management of bicycle or car sharing systems. One-tomany- to-one (1-M-1) problems are characterized by the presence of some commodities to be delivered from a depot to many customers and of other commodities to be collected at the customers and transported back to the depot. These have applications, for example, in the distribution of beverages and the collection of empty cans and bottles. They also arise in forward and reverse logistics systems where, in addition to delivering new products, one must plan the collection of used, defective, or obsolete products. Finally, in one-to-one (1-1) problems, each commodity has a single origin and a single destination between which it must be transported. Typical applications of these problems are less than- truckload transportation and urban courier operations.

  Language:Python25305

• christianmaxmike/ALNS-VRPTW-FL

  Adaptive Large Neighborhood Search (ALNS) for the Vehicle Routing Problem with Time Windows, Flexible Service Locations and Time-dependent Location Capacity.

  Language:Java23006

• MonsterPPPP/OUTPUT-ALNS-Java-Python-code-and-Samples

  help yourself~

  17104

• avinashmnit30/Electric-Vehicle-Optimal-Charging

  The python codes implement the EV charging problem as static and dynamic optimization problem. The optimizers try to maximize the revenue and minimize the cost of the EV charging plant.

  Language:Python15301

• Empty-City-Wcl/Java-VRPTW-ALNS-

  Solving the VRPTW problem using the ALNS algorithm in Java

  Language:Java15101

• inria-UFF/location-routing

  A state-of-the-art exact Branch-Cut-and-Price algorithm for the Capacitated Location-Routing Problem and related problems

  Language:C++15113

• MarcosChindelar/Bi-Level

  A Variable Neighborhood Descent with Ant Colony Optimization to Solve a Bilevel Problem with Station Location and Vehicles Routing

  Language:Python15110

• lucniner/electric_vehicle_routing_problem_with_time_windows

  Electric-Vehicle Routing Problem with Time Windows (EVRPTW) for the optimization in transports and logistics coure summer term 2018 at the technical university of vienna

  Language:Java13412

• rahulparmar339/VRPTW

  Simulated Annealing(SA) and Tabu Search(TS) algorithms with Push Forward Insertion Heuristic(PFIH) and Lambda-Interchange Heuristic(local search heuristic-LSH) for vehicle routing problem with capacity and time constraint

  Language:C#9204

• shubhampachori12110095/LRP-for-garbage-collection

  Two-Echelon Capacitated location-routing problem of Heterogeneous fleets

  Language:Python9001

• marsskop/dvrp_aql

  Solution of Dynamic Vehicle Routing Problem with Time Windows based on ALNS algorithm

  Language:Jupyter Notebook8101

• QiuziChen/alns-framework-for-evsp

  An ALNS framwork for solving EVSP written in Python.

  Language:Jupyter Notebook8202

• Ferrari248/EVRP_ALG

  EVRP算法部分代码

  Language:Python6103

• axelparmentier/ElectricalVSP-ColumnGeneration

  Companion code for "Electric Vehicle Fleets: Scalable Route and Recharge Scheduling through Column Generation" by Parmentier, Martinelli and Vidal

  Language:C++4301

• mirk1one/alns_evrp

  Progetto di ALNS EVRP per il corso di Methods and Tools for Decision Support

  Language:C#41

• liuyimingNEU95/Supplement_ALNS_TDGVRPTW

  The supplement contains the algorithm code and instances as a complement of the paper "Efficient Feasibility Checks and an ALNS Algorithm for the TDGVRPTW"

  3

• lucagiovagnoli/geographical-search-rescue-AI

  Search and Rescue AI solution using K-means Clustering, VRP (Vehicle Routing Problem), Frame Allocation and Hungarian Algorithm.

  Language:C#2001

• yoann-fleytoux/PYTHON_Genetic_Simulated_Annealing_TabuSearch_Algorithms

  The work consists of the implementation of three metaheuristic approaches - based on simulated annealing, tabu research, genetic algorithms, particle swarm optimization or differential evolution - to solve each of these problems (1) and (2).

  Language:Python2200

• JaccovanWijk/LargeNeighbourhoodSearch

  Large Neighbourhood Search (Shaw) for VRPTW

  Language:C#1