MGA – a mathematical approach to generate design alternatives

  • Authors:
  • Prakash Kripakaran;Abhinav Gupta

  • Affiliations:
  • Ecole Polytechnique Fédérale de Lausanne, Switzerland;North Carolina State University

  • Venue:
  • EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Optimization methods are typically proposed to find a single solution that is optimal with respect to the modeled objectives and costs. In practice, however, this solution is not the best suited for design as mathematical models seldom include all the costs and objectives. This paper presents a technique – Modeling to Generate Alternatives (MGA), that instead uses optimization to generate good design alternatives, which the designer may explore with respect to the unmodeled factors. The generated alternatives are close to the optimal solution in objective space but are distant from it in decision space. An application of this technique to design of moment-resisting steel frames is illustrated.