hybrid-solution
There are 36 repositories under hybrid-solution topic.
Juude/Awesome-Cross-Platform-Apps
the awesome list of cross platform apps solutions(跨平台app方案合集)
dwave-examples/3d-bin-packing
Use a hybrid solver to use the minimum number of bins to pack items with different dimensions
dwave-examples/portfolio-optimization
Solve different formulations of the portfolio optimization problem.
dwave-examples/nurse-scheduling
A demo of a nurse scheduling model
dwave-examples/ev-charger-placement
Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest.
dwave-examples/knapsack
Implementation of knapsack problem, set up for scaling to large problem size
dwave-examples/satellite-placement
Group satellites into constellations such that their average observation coverage is maximized
dwave-examples/sudoku
Solve a Sudoku puzzle with a quantum computer
dwave-examples/employee-scheduling
Schedule employees using a constrained quadratic model with a hybrid solver.
dwave-examples/D-Wave-VRP
Solve the Vehicle Routing Problem (and its variants) using a hybrid solver and Qbsolv.
dwave-examples/distributed-computing
Minimize messaging between computers in a distributed computing system by using the LeapHybridCQMSampler. This problem is also known as the graph k-partitioning problem.
dwave-examples/mvrp
Capacitated Vehicle Routing Problem example on D-Wave's hybrid solvers.
dwave-examples/rna-folding
Finds the optimal stem configuration of an RNA sequence using the LeapHybridCQMSampler.
dwave-examples/reservoir-management
Manage water levels in a reservoir by controlling water pumps.
dwave-examples/crop-rotation
Finds optimal crop rotations for a set of crops to be planted in a connected set of plots using the LeapHybridDQMSampler.
dwave-examples/feature-selection-cqm
Use a hybrid solver to select features from two data sets
dwave-examples/feature-selection-notebook
Feature selection for machine learning using mutual information.
dwave-examples/job-shop-scheduling-cqm
Determine a schedule for running a set of jobs on a certain number of machines using the LeapHybridCQMSampler.
dwave-examples/graph-coloring
A demo of graph coloring using Leap's hybrid constrained quadratic model (CQM) solver.
dwave-examples/hybrid-computing-notebook
Create and use hybrid workflows to solve problems.
dwave-examples/immunization-strategy
Find the minimal number of immunization doses required to break the transmission cycle of a virus or infectious disease within a population. Solved using the LeapHybridCQMSampler.
dwave-examples/airline-hubs
Determine which airports should be hub locations for an airline. Solved using the LeapHybridCQMSampler.
dwave-examples/image-segmentation
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.
dwave-examples/n-queens
Demonstrates how to formulate the n-queens problem as a QUBO, which we then solve using Leap’s hybrid solvers.
dwave-examples/cryptarithmetic
Solve cryptarithmetic addition puzzles using the LeapHybridCQMSampler.
dwave-examples/flow-shop-scheduling
Flow Shop Scheduling example using the Quantum Hybrid NL Solver.
dwave-examples/map-coloring
Select the colors used on the different regions of a map
dwave-examples/circuit-equivalence
Verify the equivalence of two electronic circuits using the LeapHybridDQMSampler.
dwave-examples/tour-planning
Use a hybrid CQM solver to optimize the modes of locomotion for a multi-leg tour
dwave-examples/frequency-selection
Solve feasibility frequency assignment problem using LeapHybridSampler.
dwave-examples/Line-up-optimization
Optimize the initial line-up of Liverpool FC using the LeapHybridSampler.
dwave-examples/paint-shop-optimization
Solve the multi-car paint shop optimization problem using the LeapHybridCQMSampler.
AlwaysLoveme/native-jsbridge
用于H5和native之间通信的插件
Bilal-Belli/BinPackingProblem
This repository serves as a comprehensive collection of solutions and implementations for the Bin Packing 1D problem.
ns7523/Network-attacks-detection
A Hybrid feature extraction method with machine learning for detecting the presence of network attacks
Mr-Slinky/slinky-physics
A high-performance Physics Engine built using an Entity Component System (ECS) architecture, designed with a hybrid approach that blends object-oriented programming (OOP) principles with Data-Oriented Design (DOD) to deliver both intuitive usage and exceptional performance.