Multi-objective optimization of structures topology by genetic algorithms

Advances in Engineering Software

Volumn 36, Issue 1, 2005, Pages 21-28

  Madeira, J F Aguilar ^a,b   Rodrigues, H ^a   Pina, Heitor ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

Author keywords

Evolutionary Algorithms; Genetic Algorithm; Multi Objective Optimization; Structural topology design

Indexed keywords

CHROMOSOMES; DEGRADATION; GENETIC ALGORITHMS; INFORMATION ANALYSIS; MUTAGENESIS; OPTIMAL SYSTEMS; OPTIMIZATION; VECTORS;

CROSS OVER; EVOLUTIONARY ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION; STRUCTURAL TOPOLOGY DESIGN;

TOPOLOGY;

EID: 9644289438     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2003.07.001     Document Type: Conference Paper

References (18)

1. Chapman CD, Saitou K, Jakiela MI. Genetic Algorithms as an Approach to Configuration and Topology Design. ASME J Mech Des 1994;.
2. Cohon JL. Multiobjective programming and planning. Math Sci Engng, vol. 140. London: Academic. Press, Inc; 1978.
3. Deb K. Evolutionary algorithms for multi-criterion optimization in engineering design. Proceedings of Evolutionary Algorithms in Engineering and computer Science, (EUROGEN'99); 1999.
4. Deb K, Pratap A, Agrawal S, Meyarivan T. A fast elitist non-dominated sorting genetic algorithm for multi-objective: NSGA-II. Proceedings of the Parallel Problem Solving from Nature VI conference 2000;846-58.
5. Deb K, Goel T. Controlled elitist non-dominated sorting genetic algorithms for better convergence. Evolutionary multi-criterion optimization, EMO, Berlin: Springer; 2001. pp. 67-81.
6. Deb K. Multi-objective optimization using evolutionary algorithms. London: Wiley; 2002.
7. Fonseca CM, Fleming PJ. Genetic algorithms for multi-objective optimization: formulation, discussion, and generalization. Proceedings of the Fifth International Conference on Genetic Algorithms 1993:416-23.
8. Goldberg DE. Genetic algorithms in search, optimization, and machine learning, reading. Massachusetts: Addison Wesley; 1989.
9. Hajela P. Genetic algorithms in structural topology optimization, topology design of structures. NATO Advanced Research Workshop, Sesimbra, Portugal; 1992.
10. Holland J. Adaptation in natural and artificial systems. Ann Arbor: University of Michigan Press; 1975.
11. Horn J, Nafploitis N, Goldberg DE. A niched Pareto genetic algorithm for multi-objective optimization. In proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, 1, 1994, 82-87.
12. Knowles J, Corne D. The Pareto archived evolution strategy: a new baseline algorithm for multi-objective optimization. Proceedings of the Congress on Evolutionary Computation, Piscataway, New Jersey: IEEE Service Center; 1999. pp. 98-105.
13. Miettinen KM. Nonlinear multiobjective optimization. Norwell, Massachusetts 02061 USA: Kluwer Academic Publishers; 1999.
14. Pareto V. Cours D'Economie Politique, Vol. I and II, Rouge F., Lausanne; 1896.
15. Schaffer JD. Multiple objective optimization with vector evaluated genetic algorithms. PhD Thesis, Vanderbilt University; 1984.
16. Schaffer JD. Multiple objective optimization with vector evaluated genetic algorithms and their applications. Proceedings of the First International Conference on Genetic Algorithms; 1985. pp. 93-100.
17. Srinivas N, Deb K. Multi-objective funcion optimization using non-dominated sorting genetic algorithms. Evol Comput 1995;(2): 221-48.
18. Zitzler E, Theiele L. Multiobjective evolutionary algorithm: a comparative case study and the strength Pareto approach. IEEE Trans Evol Comput 1999;3(4):257-71.