Code for the best/better-response dynamics algorithm showing the convergence of a congestion game in Game Thoey

Supplementary material for the paper "Real-Time Fluid Dynamics for Games" by Jos Stam.

A generic evolutionary game theory simulation library

Simulation files for the paper "Consensus Algorithm with Censored Data for Distributed Detection with Corrupted Measurements: A Game-Theoretic Approach" published at the 2016 Conference on Decision…

Simulation files for the paper "Decision fusion with corrupted reports in multi-sensor networks: A game-theoretic approach" published at 53rd IEEE Conference on Decision and Control, Los Angees, USA

Understanding Strategic Interactions in Global Economic Indicators: A Game-Theoretic Approach

The effects of proof-of-stake design on consensus: a game-theoretical simulation-based approach

Implementation of the methods presented in the paper "A Game-Theoretic Approach to Robust Fusion and Kalman Filtering Under Unknown Correlations" https://arxiv.org/abs/1610.01045

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

A Game-Theoretic Approach to Hypergraph Clustering

This project simulates a distributed Wireless Sensor Network (WSN) to manage an Electric Vehicle (EV) Charging Grid using Message Passing Interface (MPI) and POSIX/OpenMP in C or C++. It aims to op…

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty (AAAI 2016) - Changkyu Song

Particle Swarm Optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a pro…

Gray Wolf Optimization (GWO), Imperialist Competitive Algorithm (ICA) and Particle Swarm Optimization (PSO) are used to improve the weights achieved by a Neural Network trained with Gradient Descen…

Heterogeneous Improved Dynamic Multi-Swarm PSO (HIDMS-PSO) algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9308313

Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification

An implementation of improved AdaBoost algorithm using PSO.

Using improved PSO(Particle Swarm Optimization) algorithm resolve VRPTW question.

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Matlab codes for safety-critical control based on a single CBF constructed from a complex combination of safety specifications. They contain codes for numerical simulation of three reach-avoid prob…

Interface to OpenStreetMap (load maps, extract road connectivity, plot road network & find shortest path)

"Iterative Convex Optimization for Model Predictive Control with Discrete-Time High-Order Control Barrier Functions" by S. Liu, J. Zeng, K. Sreenath and C. Belta http://arxiv.org/pdf/2210.04361.pdf

We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal-Dual Interior-Point Methods using modern optimization progr…

硕士论文第四章仿真内容源代码