Interactive Concept-based Search using MOEA:The Hierarchical Preferences Case

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.

Authors:

• Gideon Avigad
• Amiram Moshaiov
• Neima Brauner

Keywords:

• Conceptual solution
• engineering design
• hierarchical planning
• multi-objective search
• problem reduction.

References:

[1] 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.
[2] 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.
[3] K. Deb, Multi-Objective Optimization using Evolutionary Algorithms.
J. Wiley & Sons, Ltd., 2001.
[4] D. Van Veldhuizen, and G. B. Lamont, "Multiobjective evolutionary
algorithms: Analyzing the state-of-the-art," Evolutionary
Computation, 8(2), 2000, pp. 125-147.
[5] 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.
[6] J. Andersson, "Multiobjective optimisation in engineering design
applications to fluid power systems," Thesis submitted to Linkoping
University, Linkoping.2001.
[7] 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.
[8] N. Srinivas, and K. Deb, "Multi-Objective Function Optimization
using Non-Dominated Sorting Genetic Algorithms," Evolutionary
Computation 2(3), pp: 221- 248, 1994.
[9] 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.