Evolving Best-Response Strategies for Market-Driven Agents Using Aggregative Fitness GA.
Kwang Mong SimBo AnPublished in: IEEE Trans. Syst. Man Cybern. Part C (2009)
Keyphrases
- trading agents
- genetic algorithm
- fitness function
- evolutionary process
- trading strategies
- genetic algorithm ga
- evolutionary algorithm
- market conditions
- multi agent
- multi agent systems
- fitness landscape
- learning agents
- agent cooperation
- evolution process
- genetic programming
- multiagent systems
- equilibrium strategies
- supply chain
- agent mediated
- supply chain management
- bidding strategies
- resource allocation
- software agents
- evolutionary computation
- intelligent agents
- market prices
- crossover and mutation
- moral hazard
- multiple agents
- seller agents
- decision making
- negotiating agents
- artificial neural networks
- dynamic environments
- mixed strategy
- mobile agents
- autonomous agents
- genetic operators
- neural network
- cooperative
- multi objective
- evolutionary game theory
- agent systems
- agent architecture
- game theoretic
- coordination mechanisms
- initial population
- agent technology
- population size
- online auctions
- electronic marketplaces
- natural selection
- distributed search
- stock market
- ant colony optimization
- pricing strategies
- double auction
- selection operator
- market share
- dynamic pricing
- crossover operator
- financial markets
- fitness values
- electricity markets
- nash equilibrium