Published December 25, 2007
| Version 8910
Journal article
Open
Interactive Concept-based Search using MOEA:The Hierarchical Preferences Case
Authors/Creators
Description
An IEC technique is described for a multi-objective
search of conceptual solutions. The survivability of solutions is
influenced by both model-based fitness and subjective human
preferences. The concepts- preferences are articulated via a hierarchy
of sub-concepts. The suggested method produces an objectivesubjective
front. Academic example is employed to demonstrate the
proposed approach.
Files
8910.pdf
Files
(9.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:e4b0bb3b50aa3ff8a8122514828a72dd
|
9.0 MB | Preview Download |
Additional details
References
- G. Avigad, A. Moshaiov, and N. Brauner , "Concept-based interactive brainstorming in engineering design," Journal of Advanced Computational Intelligence and Intelligent Informatics, 8(5), 2004a.
- A. Moshaiov, G. Avigad, and N. Brauner, "Multi-objective path planning by the concept-based IEC method," Proceedings of the 2004 IEEE Int. Conference on Computational Cybernetics, ICCC 2004. Vienna, Austria.
- K. Deb, Multi-Objective Optimization using Evolutionary Algorithms. J. Wiley & Sons, Ltd., 2001.
- D. Van Veldhuizen, and G. B. Lamont, "Multiobjective evolutionary algorithms: Analyzing the state-of-the-art," Evolutionary Computation, 8(2), 2000, pp. 125-147.
- C.A.C. Coello, "A comprehensive survey of evolutionary-based Multiobjective optimization techniques, Knowledge and Information techniques." Knowladge and Information Systems, 1(3), 1999, pp. 269-308.
- J. Andersson, "Multiobjective optimisation in engineering design applications to fluid power systems," Thesis submitted to Linkoping University, Linkoping.2001.
- G. Avigad, A. Moshaiov, and N.Brauner, "MOEA-based Approach to Delayed Decisions for Robust Conceptual Design," In Applications of Evolutionary Computation, Lecture Notes in Computer Science, LCNS 3449, pp: 584-589, Springer, 2005.
- N. Srinivas, and K. Deb, "Multi-Objective Function Optimization using Non-Dominated Sorting Genetic Algorithms," Evolutionary Computation 2(3), pp: 221- 248, 1994.
- C.M. Fonseca and P.J. Fleming, "Genetic algorithms for multiobjective Optimization: formulation, discussion and generalization." Proc Fifth Int Conf Genetic Algorithms; 416-23, 1993.