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An Evolutionary Algorithm for Constrained Bi-objective Optimization Using Radial Slots

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

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.

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References

  1. Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Chichester (2001)

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  5. 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)

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© 2005 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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