Abstract
This paper introduces a new asynchronous parallel evolutionary algorithm (APEA) based on the island model for solving function optimization problems. Our fully distributed APEA overlaps the communication and computation efficiently and is inherently fault-tolerant in a large-scale distributed computing environment. For the scalable BUMP problem, our APEA algorithm achieves the best solution for the 50-dimension problem, and is the first algorithm of which we are aware that can solve the 1,000,000- dimension problem. For other benchmark problems, our APEA finds the best solution to G7 in fewer time steps than [16][17], and finds a better solution to G10 than [17].
This work was partially supported by National Science Foundation (NFS) Instrumentation Grant EIA9911099.
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References
H. T. Yang, “A Parallel Genetic Algorithm Approach to Solving the Unit Commitment Problem: Implementation on the Transputer Networks,” IEEE Transactions on Power Systems, Vol. 12, No.2, pp. 661–668, 1997.
A. Wu, K. Y. Wu, R. M. M. Chen, Y. Shen, “Parallel Optimal Statistical Design Method with Response surface modeling using genetic algorithms,” Circuits, Devices and Systems, IEE Proceedings-, Vol. 145, No.1, 1998.
J. D. Lohn, “A Circuit Representation Technique for Automated Circuit Design,” IEEE Transactions on Evolutionary Computation, Vol. 3, No. 3, pp. 205–219, 1999.
E. Cantu-Paz, “Markov Chain Models of Parallel Genetic Algorithms,” IEEE Transactions on Evolutionary Computation, Vol. 4, No. 3, pp. 216–226, 2000.
P. B. Grosso, “Computer Simulations of Genetic Adaptation: Parallel Subcomponent Interaction in a Multi-locus Model,” Ph.D. Dissertation, University of Michigan, 1985.
L. A. Anbarasu et al., “Multiple Sequence Alignment by Parallely Evolvable Genetic Algorithms,” in A. S. Wh(ed.) Proceedings of the 1999 Genetic and Evolutionary Computation Conference Workshop Program, Orlando, Fla, July 13, 1999, pp. 154–156.
H. Lienig, “A Parallel Genetic Algorithm for Performance-Driven VLSI Routing,” IEEE Transactions on Evolutionary Computation, Vol. 1, No.1, pp. 29–39, 1997.
K. Kojima, W. Kawamata, et al, “Network Based Parallel Genetic Algorithm using Client-Server Model”, in Proceedings of the Conference on Evolutionary Computation 2000, pp. 244–250.
T. Guo, L. S. Kang, “A New Evolutionary Algorithm for Function Optimization,” Wuhan University Journal of Natural Sciences, Vol. 4, No. 4, pp. 409–414, 1999.
Z. Michalewicz and M. Schoenauer, “Evolutionary Algorithms for Constrained Parameter Optimization Problems,” Evolutionary Computation, Vol. 4, No. 1, pp. 1–32, 1996.
A. J. Keane, “Experiences with Optimizers in Structural Design,” in Proceedings of the Conference on Adaptive Computing in Engineering Design and Control 94, ed. (I. C. Parmee, Plymouth, 1994), pp. 14–27.
A. J. Keane, “A Brief Comparison of Some Evolutionary Optimization Methods,” Proceedings of Applied Decision Technologies (Modern Heuristic Methods), 1995.
A. J. Keane, “Genetic Algorithm Optimization of Multi-peak Problems: Studies in Convergence and Robustness.” Artificial Intelligence in Engineering, 1995.
A. J. Keane, “Passive Vibration Control Via Unusual Geometric: Application of Genetic Algorithm Optimization to Structural Design,” Journal of Sound and Vibration, 1995.
M. A. EI-Beltagy, et al. “Metamodeling Techniques For Evolutionary Optimization of Computationally Expensive Problems: Promises and Limitations.” Genetic Algorithms and Classifier Systems, 1999.
Z. Michalewicz, S. Esguvel et al., “The Spirit of Evolutionary Algorithms.” Journal of Computing and Information Technology, Vol. 7, pp. 1–18, 1999.
M. J. Tahk, B. C. Sun, “Coevolutionary Augmented Lagrangian Methods for Constrained Optimization.” IEEE Transactions on Evolutionary Computation, Vol. 4, No. 2, 2000.
Sunderam, V. S., “PVM: A Framework for Parallel Distributed Computing.” Concurrency: Practice and Experience, Vol. 2, No. 4, pp. 315–339, December, 1990.
Heinz Muhlenbein, “Evolution in Time and Space—The Parallel Genetic Algorithm”, In Gregory J. E. Rawlins, Editor, Foudation of Genetic Algorithms 1, Page 316–337, San Mateo, CA, USA, 1991, Morgan, Kaufmann.
William E. Hart, Scott Baden, Richard K. Belew, Scott Kohn, “Analysis of the Numerical Effects of Parallelism on a Parallel Genetic Algorithm”, Proc 10th Intl. Parallel Processing Symp. pp 606–612, 1996.
Enrique Alba, Jos M Troya Dpto. de Lenguajes y Ciencias de la Computation, “An Analysis of Synchronous and Asynchronous Parallel Distributed Genetic Algorithms with Structured and Panmictic Islands”, Future Generation Computer Systems, 17(4):451–465, January 2001.
Grefenstette J. J., “Parallel adaptive algorithms for function optimization”, Tech. Rep. No. CS-81-19, Vanderbilt University, Computer Science Department, Nashville, TN, 1981.
Martin F. J., Trelles-Salazar O., Snadoval F., “Genetic algorithms on LAN-message passing architectures using PVM: Application to the routing problem”, In Davidor Y. Schwefel H.-P., Manner R., Eds., Parallel Problem Solving from Nature, PPSN III, p.534–543, Springer-Verlag (Berlin), 1994.
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Liu, P., Lau, F., Lewis, M.J., Wang, Cl. (2002). A New Asynchronous Parallel Evolutionary Algorithm for Function Optimization. In: Guervós, J.J.M., Adamidis, P., Beyer, HG., Schwefel, HP., Fernández-Villacañas, JL. (eds) Parallel Problem Solving from Nature — PPSN VII. PPSN 2002. Lecture Notes in Computer Science, vol 2439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45712-7_39
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