Abstract
In this paper, we introduce an evolutionary algorithm for constrained, bi-objective optimization. The objective space is divided into a predefined number of radial slots and solutions compete with members in the same slot for existence. The procedure creates a uniform spread of solutions across the slots and they collectively form the nondominated front. Constraints are handled using a standard min-max formulation. We report the performace of our algorithm on a set of seven constrained, bi-objective test problems (CTP1 to CTP7) which have been known to pose difficulties to all existing multiobjective algorithms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Chichester (2001)
Coello Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B.: Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, New York (2002)
Marler, R.T., Arora, J.S.: Survey of Multi-objective Optimization Methods for Engineering. Structural Multidisciplinary Optimization 26, 369–395 (2004)
Deb, K., Pratap, A., Meyarivan, T.: Constrained Test Problems for Multi-objective Evolutionary Optimization. In: Zitzler, E., Deb, K., Thiele, L., Coello Coello, C.A., Corne, D.W. (eds.) EMO 2001. LNCS, vol. 1993, pp. 284–298. Springer, Heidelberg (2001)
Jimenez, F., Gomez-Skarmeta, A.F., Sanchez, G., Deb, K.: An Evolutionary Algorithm for Constrained Multi-objective Optimization. In: Proceedings of IEEE World Congress on Computational Intelligence, Congress on Evolutionary Computation (CEC 2002), Hawaii, May 12-17 (2002)
Deb, K., Agrawal, R.B.: Simulated Binary Crossover for Continuous Search Space. Complex Systems 9, 115–148 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ray, T., Won, K.S. (2005). An Evolutionary Algorithm for Constrained Bi-objective Optimization Using Radial Slots. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_8
Download citation
DOI: https://doi.org/10.1007/11554028_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
eBook Packages: Computer ScienceComputer Science (R0)