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Supporting evolution in a multi-agent cooperative design environment
Affiliation:1. Department of Pharmacology, New York Medical College, Valhalla, NY 10595, USA;2. University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;3. Department of Pharmacology, Wuhan University, Wuhan 430071, PR China;4. State Key Lab of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou 510060, PR China
Abstract:New architectures for next-generation of computer-aided design environments need to be distributed, evolutive, and cooperative. This paper presents a multi-agent design environment that supports cooperative and evolutionary design by cooperation of a group of agents. Multi-agent system architecture offers a promising framework with its novel approach for dynamically creating and managing agent communities in widely distributed and ever-changing design environments; while the genetic algorithm based approach provides a foundation for supporting evolutionary and innovative design abilities. The computational and information processing processes involved in evolutionary and distributed environment are discussed in this paper.
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