论文信息 - An interactive distributed evolutionary algorithm (IDEA) for design

An interactive distributed evolutionary algorithm (IDEA) for design

Evolutionary computation (EC) has been successfully applied to a wide range of design problems. There has also been an abundant amount of work in applying interactive ECs in the design of displays, robot behavior, bitmaps, etc. In the EC literature, one can also see a number of successful design applications of distributed ECs. However, to date, there has been no research in the area of interactive distributed ECs. In this paper, we present an interactive distributed evolutionary algorithm (IDEA) for the design of simple emoticons. We will discuss two ways that our IDEA is currently being used including the areas of EC education and Human Factors.

[1] Theodore C. Belding,et al. The Distributed Genetic Algorithm Revisited , 1995, ICGA.

[2] John J. Grefenstette,et al. Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[3] John J. Grefenstette,et al. A Coevolutionary Approach to Learning Sequential Decision Rules , 1995, ICGA.

[4] Reiko Tanese,et al. Distributed Genetic Algorithms , 1989, ICGA.

[5] Donald E. Brown,et al. A Parallel Genetic Heuristic for the Quadratic Assignment Problem , 1989, ICGA.

[6] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .

[7] Hideyuki Takagi,et al. Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation , 2001, Proc. IEEE.