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

Authors: Gideon Avigad, Amiram Moshaiov, Neima Brauner

Abstract:

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.

Keywords: Conceptual solution, engineering design, hierarchical planning, multi-objective search, problem reduction.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1071772

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.