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Abstract
Field Programmable Gate Arrays (FPGAs) can provide the most suitable circuits for given problems by reconfiguring its circuits. In this paper, we show that a FPGA chip can achieve about 120 times of speedup compared with a workstation (Ultra-Sparc 200 MHz) in the computation of a co-evolution of strategies and scores in Iterated Prisoner’s Dilemma game. This speedup makes it possible to challenge more complex problems beyond the limitation by software.
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References
K. Lindgren, “Evolutionary Phenomena in Simple Dynamics”, Artificial Life II, pp.295–312, 1991.
K. Lindgren and M. G. Nordah, “Cooperation and Community Structure in Artificial Ecosystems” Artificial Life 1, pp. 15–37, 1994.
P. Graham and B. Nelson, “Genetic Algorithm In Software and In Hardware-A Performance Analysis of Workstation and Custom Computing Machine Implementations”, FPGAs for Custom Computing Machines, 1996 pp.216–225.
Stephen D. Scott, Ashok Samal and Shared Seth, HGA: “A Hardware-Based Genetic Algorithm” ACM/SIGDA 1995, pp.53–59
T. Maruyama, T. Funatsu and T. Hoshino, “A Field Programmable Gate-Array System for Evolutionary Computation” FPL’98 pp.356–365
David B. Fogel, “Evolving Behaviors in the Iterated Prisoner’s Dilemma”, Evolutionary Computation Vol.1:1, pp.77–97, 1993.
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Authors and Affiliations
Institute of Engineering Mechanics and Systems, University of Tsukuba, 1-1-1 Ten-ou-dai Tsukuba, Ibaraki, 305, Japan
Yoshiki Yamaguchi, Tsutomu Maruyama & Tsutomu Hoshino
- Yoshiki Yamaguchi
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- Tsutomu Maruyama
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- Tsutomu Hoshino
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Editors and Affiliations
Laboratory of Microprocessors and Interfaces (LAMI) Department of Computer Science, Swiss Federal Institute of Technology (EPFL), CH-1015, Lausanne, Switzerland
Dario Floreano , Jean-Daniel Nicoud & Francesco Mondada , &
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© 1999 Springer-Verlag Berlin Heidelberg
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Yamaguchi, Y., Maruyama, T., Hoshino, T. (1999). High Speed Hardware Computation of Co-evolution Models. In: Floreano, D., Nicoud, JD., Mondada, F. (eds) Advances in Artificial Life. ECAL 1999. Lecture Notes in Computer Science(), vol 1674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48304-7_76
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