| Summary: | 碩士 === 輔仁大學 === 資訊工程學系 === 90 === Due to the development of Internet makes data accessible at any time and any place. The software agent has been widely adopted in the application area. As numerous agents are roaming through the Internet, they compete to achieve their goal. In the end, some of them will succeed, while the others will fail. However, when agents are initially created, they have little knowledge and experience with relatively lower capability. They should also strive to adapt themselves to the changing environment. It is advantageous if they have the ability to learn and evolve.
This paper addresses evolution of software agents. Agent fitness and fuzzy multi-criteria decision-making approach are proposed as evolution mechanisms, and goal-driven use case and fuzzy soft goal is introduced to facilitate the evolution process. Genetic programming operators are employed to restructure agents in the proposed multi-agent evolution cycle.
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