Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach

Author:

Di Barba P.,Farina M.,Savini A.

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. E. Zitzler, E., Thiele, L.: Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Trans. Evol. Comp., Vol. 3 no. 4, pp. 257–271, 1999

2. Srinivans, N., Deb, K.: Multiobjective Optimization using Non-dominated Sorting in Genetic Algorithms. Evol. Comput., Vol. 2 no. 3, pp. 221–248, 1994

3. [3] Deb, K.: Multi-Objective Algorithm: Problem Difficulties and Construction of Test Problems. Technical Report no. CI-60/98, Department of Computer Science, XI University of Dortmund GE, 1998

4. Deb, K.: Non-linear Goal Programming Using Multi-Objective Genetic Algorithm. Technical Report no. CI-60/98, Department of Computer Science, XI University of Dortmund GE, 1998

5. Rahmat-Samii, Y., Michielseen, E. (ed.s): Electromagnetic Optimization by Genetic Algorithms. John Wiley & Sons, USA 1999

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