BYTE - Lecture notes in computer science Vol. 174
Nonlinear ordinary differential equations (2nd ed.)
Nonlinear ordinary differential equations (2nd ed.)
The ecology of computation
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Negotiating Agents in Manufacturing Decision Making Processes
E-Commerce Agents, Marketplace Solutions, Security Issues, and Supply and Demand
Extending Answer Sets for Logic Programming Agents
Annals of Mathematics and Artificial Intelligence
Web Intelligence and Agent Systems
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The efficient utilization of resources is an issue of essential importance in modern network management. The emergence of increasingly complicated and continuously changing network services requires softer and fuzzier methods in network management. In this paper we demonstrate how evolutionary game theory can be used for an efficient allocation of service requirements onto an ensemble of heterogeneous network components. By incorporating differentiated pricing structures into a system utility function, network agents are encouraged to increase their usage of those components that are presently badly utilized. It is demonstrated how this approach can enhance network utilization significantly. Some new results regarding evolutionarily stable strategies in nonlinear evolutionary games are also reported.