An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models

Author:

Barrico Carlos,Antunes Carlos Henggeler

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Barrico C, Antunes CH (2006) “Robustness Analysis in Multi-Objective Opti- mization”. Research Report N3/2006, INESC Coimbra, Portugal.

2. Barrico C, Antunes CH (2006) “A New Approach to Robustness Analysis in Multi-Objective Optimization”. Proceedings of the 7th International Confer- ence on Multi-Objective Programming and Goal Programming (MOPGP 2006). Loire Valley (Tours), France.

3. Barrico C, Antunes CH (2006) “Robustness Analysis in Multi-Objective Op- timization Using a Degree of Robustness Concept”. Proceedings of the 2006 IEEE World Congress on Computational Intelligence (WCCI 2006): 6778-6783.

4. Branke J. (1998) “Creating Robust Solutions by means of an Evolutionary Algorithm”. Parallel Problem Solving from Nature, Lecture Notes in Computer Science 1498, Springer: 119-128.

5. Branke J. (2000) “Efficient Evolutionary Algorithms for Searching Robust Solutions”. Adaptive Computing in Design and Manufacture (ACDM 2000), Springer: 275-286.

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