This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of autonomous actions such as replication, migration, and death. An evolutionary mechanism is designed using genetic algorithms in order to evolve the agent's behavior over generations. A simulation study is carried out to demonstrate the ability of the evolutionary mechanism to improve the network service performance (e.g., response time) in a decentralized and self-organized manner. This paper describes the evolutionary mechanism, its design and implementation, and evaluates it through simulations. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Nakano, T., & Suda, T. (2004). Adaptive and evolvable network services. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3102, 151–162. https://doi.org/10.1007/978-3-540-24854-5_14
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