Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Trends in Applied Sciences Research
  Year: 2011 | Volume: 6 | Issue: 12 | Page No.: 1352-1359
DOI: 10.3923/tasr.2011.1352.1359
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Honey Bees Foraging Optimization for Mixed Nash Equilibrium Estimation

Ramin Ayanzadeh, Azam S. Zavar Mousavi and Hamidreza Navidi

Abstract:
Concept of solving games is to find a set of equilibrant strategies in which, players have no interest to refuse it. In static games, strategies intended by players are unspecified and a player’s pay-off is affected by other players’ strategies. Thus, analyzing opponent’s capabilities during decision making process is critical. It's clear that if the number of players or the cardinality of strategy sets increases, solving a game based on traditional approaches are impossible most of the times. Therefore, in this study a novel approach based on honey bees foraging optimization algorithms is proposed to solve static games with complete information to estimate pure and mixed Nash equilibrium. In proposed approach, equilibrium points of game are represented by food sources to be probed by honey bees in optimization process. To verify and validate method, several simulations are performed on some study cases. Simulation results prove that suggested approach generates more desirable solutions in precision and stability than other metaheuristics.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Central Limit Theorem based Cellular Automata for Generating Normal Random Numbers
  •    Dynamic Parameters Optimization for Enhancing Performance and Stability of PSO
  •    Discrete Time Dynamic Neural Networks for Predicting Chaotic Time Series
  •    Fuzzy Honey Bees Foraging Optimization: Swarm Intelligence Approach for Clustering
  •    Product Innovation and the Games of Uncertainty and Risk
  •    Determining Optimum Queue Length in Computer Networks by Using Memetic Algorithms
  •    Immune Based Approach to Find Mixed Nash Equilibrium in Normal Form Games
  •    Design and Implementation of an Agent-based Trading Mechanism
How to cite this article:

Ramin Ayanzadeh, Azam S. Zavar Mousavi and Hamidreza Navidi, 2011. Honey Bees Foraging Optimization for Mixed Nash Equilibrium Estimation. Trends in Applied Sciences Research, 6: 1352-1359.

DOI: 10.3923/tasr.2011.1352.1359

URL: https://scialert.net/abstract/?doi=tasr.2011.1352.1359

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom