Innovization: Innovating design principles through optimization

GECCO 2006 - Genetic and Evolutionary Computation Conference

Volumn 2, Issue , 2006, Pages 1629-1636

  Deb, Kalyanmoy ^a   Srinivasan, Aravind ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Design principles; Innovative design; Knowledge discovery; Multi objective optimization

Indexed keywords

ALGORITHMS; PROBLEM SOLVING; PRODUCT DESIGN;

DESIGN PRINCIPLES; INNOVATIVE DESIGN; KNOWLEDGE DISCOVERY; MULTI OBJECTIVE OPTIMIZATION;

OPTIMIZATION;

EID: 33750258231     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. H. P. Benson. Existence of efficient solutions for vector maximization problems. Journal of Optimization Theory and Applications, 26(4):569-580, 1978.
2. C. A. C. Coello, D. A. VanVeldhuizen, and G. Lamont. Evolutionary Algorithms for Solving Multi-Objective Problems. Boston, MA: Kluwer Academic Publishers, 2002.
3. K. Deb. An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering, 186(2-4):311-338, 2000.
4. K. Deb. Multi-objective optimization using evolutionary algorithms. Chichester, UK: Wiley, 2001.
5. K. Deb. Unveiling innovative design principles by means of multiple conflicting objectives. Engineering Optimization, 35(5):445-470, 2003.
6. K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197, 2002.
7. K. Deb and A. Kumar. Real-coded genetic algorithms with simulated binary crossover: Studies on multi-modal and multi-objective problems. Complex Systems, 9(6):431-454, 1995.
8. D. E. Goldberg. The design of innovation: Lessons from and for Competent genetic algorithms. Kluwer Academic Publishers, 2002.
9. J. Jahn. Vector optimization. Berlin, Germany: Springer-Verlag, 2004.
10. B. K. Kannan and S. N. Kramer. An augmented Lagrange multiplier based method for mixed integer discrete continuous optimization and its applications to mechanical design. ASME Journal of Mechanical Design, 116(2):405-411, 1994.
11. A. Messac and C. A. Mattson. Normal constraint method with guarantee of even representation of complete Pareto frontier. AIAA Journal, in press.
12. A. Osyczka. Evolutionary algorithms for single and multicriteria design optimization. Heidelberg: Physica-Verlag, 2002.
13. P. Y. Papalambros and D. J. Wilde. Principles of optimal design: Modeling and computation. Cambridge, UK: Cambridge University Press, 2000.
14. G. V. Reklaitis, A. Ravindran, and K. M. Ragsdell. Engineering optimization methods and 'applications. New York : Wiley, 1983.