Adaptive modelling strategy for continuous multi-objective optimization
Zhou A, Zhang Q, Jin Y, Sendhoff B (2007)
In: 2007 IEEE Congress on Evolutionary Computation. IEEE: 431-437.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Zhou, Aimin;
Zhang, Qingfu;
Jin, YaochuUniBi 
;
Sendhoff, Bernhard
;
Sendhoff, BernhardAbstract / Bemerkung
The Pareto optimal set of a continuous multiobjective optimization problem is a piecewise continuous manifold under some mild conditions.We have recently developed several multi-objective evolutionary algorithms based on this property. However, the modelling methods used in these algorithms are rather costly. In this paper, a cheap and effective modelling strategy is proposed for building the probabilistic models of promising solutions. A new criterion is proposed for measuring the convergence of the algorithm. The locality degree of each local model is adjusted according to the proposed convergence criterion. Experimental results show that the algorithm with the proposed strategy is very promising.
Erscheinungsjahr
2007
Titel des Konferenzbandes
2007 IEEE Congress on Evolutionary Computation
Seite(n)
431-437
Konferenz
2007 IEEE Congress on Evolutionary Computation
Konferenzort
Singapore
Konferenzdatum
2007-09-25 – 2007-09-28
ISBN
978-1-4244-1339-3,
978-1-4244-1340-9
Page URI
https://pub.uni-bielefeld.de/record/3005649
Zitieren
Zhou A, Zhang Q, Jin Y, Sendhoff B. Adaptive modelling strategy for continuous multi-objective optimization. In: 2007 IEEE Congress on Evolutionary Computation. IEEE; 2007: 431-437.
Zhou, A., Zhang, Q., Jin, Y., & Sendhoff, B. (2007). Adaptive modelling strategy for continuous multi-objective optimization. 2007 IEEE Congress on Evolutionary Computation, 431-437. IEEE. https://doi.org/10.1109/CEC.2007.4424503
Zhou, Aimin, Zhang, Qingfu, Jin, Yaochu, and Sendhoff, Bernhard. 2007. “Adaptive modelling strategy for continuous multi-objective optimization”. In 2007 IEEE Congress on Evolutionary Computation, 431-437. IEEE.
Zhou, A., Zhang, Q., Jin, Y., and Sendhoff, B. (2007). “Adaptive modelling strategy for continuous multi-objective optimization” in 2007 IEEE Congress on Evolutionary Computation (IEEE), 431-437.
Zhou, A., et al., 2007. Adaptive modelling strategy for continuous multi-objective optimization. In 2007 IEEE Congress on Evolutionary Computation. IEEE, pp. 431-437.
A. Zhou, et al., “Adaptive modelling strategy for continuous multi-objective optimization”, 2007 IEEE Congress on Evolutionary Computation, IEEE, 2007, pp.431-437.
Zhou, A., Zhang, Q., Jin, Y., Sendhoff, B.: Adaptive modelling strategy for continuous multi-objective optimization. 2007 IEEE Congress on Evolutionary Computation. p. 431-437. IEEE (2007).
Zhou, Aimin, Zhang, Qingfu, Jin, Yaochu, and Sendhoff, Bernhard. “Adaptive modelling strategy for continuous multi-objective optimization”. 2007 IEEE Congress on Evolutionary Computation. IEEE, 2007. 431-437.
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