Finite Markov chain analysis of genetic algorithms
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
An investigation of niche and species formation in genetic function optimization
Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Modelling Market-Based Decentralised Management Systems
BT Technology Journal
Simulating Value Chain Coordination with Artificial Life Agents
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
New methods for competitive coevolution
Evolutionary Computation
Nature-Inspired Computing Technology and Applications
BT Technology Journal
Computer Networks: The International Journal of Computer and Telecommunications Networking
A hayekian self-organization approach to service allocation in computing systems
Advanced Engineering Informatics
Mating restriction and niching pressure: results from agents and implications for general EC
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Hi-index | 0.00 |
Multi-agent software systems can be modelled as complex dynamic systems in which agent adaptation and interaction occur continuously and concurrently. A genetics-inspired view has interaction occurring via exchange of agent characteristics encoded as genes, plus measures of success. An economics-inspired view has agent adaptation driven by changes in prices, and supply and demand. This paper describes work towards a synergistic combination of these views.