Verification of Local Equilibrium Stability through Evolutionary Game Data Simulation
Implementation in MATLAB environment using evolutionary game data simulation to validate local stability of equilibrium points with algorithm details
Evolutionary Game Theory MATLAB Toolbox
Evolutionary Game Theory MATLAB Toolbox enables simulation and analysis of evolutionary games on various complex network structures, featuring algorithmic implementations for network generation, strategy updating rules, and payoff calculations.
Algorithm for Evolutionary Games on Small-World Networks in Complex Networks
Algorithms for implementing evolutionary games on small-world networks within complex network frameworks, including code implementation strategies and practical applications.
Resource Allocation for Two-Cell Users Based on Evolutionary Game Theory
Application Context: This algorithm employs evolutionary game theory for resource allocation among multi-cell users, treating cell overlapping areas as populations where users engage in evolutionary games for network switching, while base stations allocate sub-channels. Key Technology: The algorithm utilizes MATLAB for simulation testing, demonstrating that evolutionary games achieve stability and improve system throughput. It provides valuable reference for cell resource allocation, offering a novel alternative to traditional resource allocation methods. Code implementation involves modeling user behavior dynamics and channel assignment protocols.
Evolutionary Game Theory Results: Evolutionary Equilibrium, Best Response Dynamics, and Phase Plane Analysis
Results and implementations related to evolutionary game theory, covering evolutionary equilibrium concepts, best response strategies, phase plane visualizations with algorithmic explanations and MATLAB/Python code approaches