Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation, 6(5):481--494, 2002. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Single and Multi-Objective Approaches to 3D Evolutionary.. - Hasenjäger, al. (2005) Self-citation (Sendhoff) (Correct)
No context found.
Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation, 6(5):481--494, 2002.
A Comprehensive Survey of Fitness Approximation in Evolutionary.. - Jin (2003) (7 citations) Self-citation (Jin) (Correct)
....than do them randomly. However, the reduction of tness evaluations may not be signi cant. Use of approximate tness models through tness evaluations. In most research, the approximate model has been directly used in tness evaluations in order to reduce the number of tness calculation [44, 56, 57, 48, 64, 65, 20, 21, 51, 12, 59, 23, 36, 37, 38, 27, 22]. Di erent approximate models, including polynomials, kriging models and neural networks have been applied. An interesting idea in [22] is that a con dence interval for the tness estimation is calculated to modify the model prediction so that the search in unexplored regions is encouraged. It ....
Y. Jin, M. Olhofer, and B. Sendho . A framework for evolutionary optimization with approximate tness functions. IEEE Transactions on Evolutionary Computation, 6(5):481-494, 2002.
Optimization by Gaussian Processes assisted - Evolution Strategies Holger (2003) (Correct)
No context found.
Y. Jin, M. Olhofer, and B. Sendho#. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation. March 2002 (in press). (ISSN: 1089-778X), 2002.
Evolution Strategies assisted by Gaussian Processes - With Improved Pre-Selection (2003) (Correct)
No context found.
Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation. March 2002.
Evolution Strategies with Controlled Model - Assistance Ulmer Streichert (2004) (Correct)
No context found.
Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation. March 2002.
Evolution Strategies assisted by Gaussian Processes with.. - Ulmer, Streichert, Zell (2003) (2 citations) (Correct)
No context found.
Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation. March 2002.
Evolution Strategies with Controlled Model - Assistance Ulmer Streichert (2004) (Correct)
No context found.
Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation. March 2002.
Surrogate-Assisted Evolutionary Optimization Frameworks.. - Ong, Nair, Keane, Wong (2004) (Correct)
No context found.
Jin Y, Olhofer M, and Sendho B (2002) A Framework for Evolutionary Optimization with Approximate Fitness Functions. IEEE Transactions on Evolutionary Computation,Vol. 6, No. 5, pp. 481-494
Hierarchical Surrogate-Assisted Evolutionary Optimization.. - Zhou, Ong, Nair (2004) (Correct)
No context found.
Y. Jin , M. Olhofer, and B. Sendho, "A Framework for Evolutionary Optimization with Approximate Fitness Functions," IEEE Transactions on Evolutionary Computation, Vol 6, No. 5, pp. 481-494, 2002.
Optimization by Gaussian Processes assisted Evolution.. - Ulmer, Streichert, Zell (2003) (Correct)
No context found.
Y. Jin, M. Olhofer, and B. Sendho#. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation. March 2002 (in press). (ISSN: 1089-778X), 2002.
Artificial Intelligence Technologies in Complex Engineering Design - Ong (2002) (Correct)
No context found.
Y. Jin, M. Olhofer and B. Sendho#, 2000, "A Framework for Evolutionary Optimization with Approximate Fitness Functions", IEEE Transactions on Evolutionary Computation, in press.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC