Alternatives and similar repositories for knapsack-problem-solved-with-evolutionary-strategy-Genetic-algorithm-in-python

Users that are interested in knapsack-problem-solved-with-evolutionary-strategy-Genetic-algorithm-in-python are comparing it to the libraries listed below

• Elktrn / Reinforcement-Learning-solving-a-simple-4by4-Gridworld-using-Qlearning-in-python
  solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Qlearning Temporal difference method Reinforcement Learning
  ☆14Updated 11 months ago
• sinaebrahimi / energy-efficient-slicing
  Matlab code for the simulation of my paper entitled "Joint Resource and Admission Management for Slice-enabled Networks"
  ☆37Updated 4 years ago
• Elktrn / solving-TSP-problem-with-ACO-Heuristic-Algorithm-in-python
  solving tsp with aco whith full graphic view in python
  ☆22Updated 11 months ago
• Kathess / DYRECTsn
  Framework for TSN flow reservation, as described in the PhD Thesis "Reliable Real-Time Communication in Time-Sensitive Networking with St…
  ☆18Updated 2 months ago
• gimmyy / MSS-CQF
  MSS: Exploiting Mapping Score for CQF Start Time Planning in Time-Sensitive Networking
  ☆18Updated 2 years ago
• TroddenSpade / Federated-DRL
  Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards
  ☆35Updated 3 years ago
• ronakbhoi / Task-Scheduling-In-Cloud-computing-environments
  Task scheduling algorithms using algorithms like ACO PSO and MBO
  ☆18Updated 6 years ago
• zhinx / SFCDeployment
  NFV simulation experiment to deploy service function chains
  ☆26Updated 7 years ago
• GeminiLight / flag-vne
  [IJCAI '24 - FlagVNE] Implementation of our paper "FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Res…
  ☆35Updated 8 months ago
• nikhil-feb / Q-Learning-Based-Power-Control-Algorithm-for-D2D-Communication
  D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement…
  ☆35Updated 6 years ago
• Elktrn / nQueens-problem-solved-with-evolutionary-strategy-in-python
  find arrangement for n Queens in n*n board of chees using Genetic algorithms
  ☆14Updated 11 months ago
• AdityaRadya / Optimal-Routing-With-Genetic-Algorithm
  This is a program that calculates and finds the most optimal cost in a routing problem. The routing problem is described as having a Prod…
  ☆11Updated 7 years ago
• yueludanfeng / Multi-constrainedQoSRouting
  This Project consists of files which contribute to solving multiple-constraints QoS routing problem The Algorithms are as follows : G…
  ☆35Updated 4 years ago
• GeminiLight / edge-server-placement
  Some classical edge server placement algorithms are implemented.
  ☆26Updated 3 years ago
• Elktrn / MLP-NN-binary-classifier-for-breast-cancer-classification-in-python
  Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wiscons…
  ☆20Updated 11 months ago
• JoseCVieira / Thesis---Fog-and-Cloud-Computing-Optimization-in-Mobile-IoT-Environments
  Fog and Cloud Computing Optimization in Mobile IoT Environments
  ☆16Updated 6 years ago
• BJTUHPCRT / QEEC-DingDing
  We open sourced the code of our team’s paper ‘Q-learning based Dynamic task scheduling for energy efficient cloud computing’, so as to fa…
  ☆20Updated 4 years ago
• CloudControlSystems / KCES
  KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
  ☆15Updated last year
• zby5558 / Mitigation-of-Scheduling-Violations-in-Time-Sensitive-Networking-using-Deep-Deterministic-Policy-Gra
  ☆12Updated 4 years ago
• aliahan / network-slicing-with-RL
  Robustness Evaluation of RL-based Algorithms for Resource Allocation in 5G Network Slicing
  ☆14Updated last year
• yashjain2597 / Meta-Heuristics-Algorithms-for-Task-Scheduling-in-Cloud
  Implementation of Greedy Particle Swarm Optimization, HSGA and Hybrid(GA+PSO) for the purpose of Task Scheduling in cloud computing envir…
  ☆34Updated 4 years ago
• Westbrookl / detnet
  NS-3 implementation of deterministic networks/time sensitive networks
  ☆13Updated 6 years ago
• fangvv / EdgeDI
  Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"
  ☆15Updated 5 months ago
• Xieyuanai / Energy-Spectral-Efficiency-Optimization
  Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-based Robust Power Control Approach
  ☆13Updated 5 years ago
• withhaotian / DDPG-Agent-for-Edge
  Code for CoPace: Edge computation offloading and caching for self-driving with deep reinforcement learning
  ☆21Updated last year
• Zuox99 / Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-Provid
  Project: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers
  ☆60Updated 5 years ago
• GeminiLight / hrl-acra
  [TSC '23 - HRL-ACRA] Implementation of our paper "Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierar…
  ☆30Updated 8 months ago
• vishnupriyaguddeti / Optimal-Edge-Server-Placement-using-K-means-and-PSO
  Optimal placement of edge servers using K-means Clustering and Power allocation using Particle Swarm Optimization
  ☆13Updated 4 years ago
• farshadzl / 5G-V2X
  This is code of paper entitled "AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U networks…
  ☆15Updated 2 years ago
• zahragc / RDWS
  A real-time workflow scheduling system in a cloud computing environment with a deep reinforcement learning approach
  ☆29Updated 3 years ago