Incorporating fuzzy knowledge into fitness: Multiobjective evolutionary 3D design of plants

GECCO 2005 - Genetic and Evolutionary Computation Conference

Volumn , Issue , 2005, Pages 1985-1992

  Mierswa, Ingo ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

Evolutionary plant design; Fuzzy constraint indexing; Multiobjective evolutionary construction

Indexed keywords

COMPUTATIONAL COMPLEXITY; COSTS; OPTIMIZATION; PROCESS ENGINEERING; PRODUCT DESIGN; THREE DIMENSIONAL;

EVOLUTIONARY PLANT DESIGN; FUZZY CONSTRAINT INDEXING; MULTIOBJECTIVE EVOLUTIONARY CONSTRUCTION; OPTIMIZED BLUEPRINTS;

FUZZY CONTROL;

EID: 32444447351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068341     Document Type: Conference Paper

References (34)

1. L. Amorese, V. Cena, and C. Mustacchi. A heuristic for the compact location of process components. Chemical Engineering Science, 2(32):119-124, 1977.
2. W. D. Baasel. Preliminary Chemical Engineering Plant Design. Elsevier, 1974.
3. J. Balakrishnan, C. H. Cheng, D. G. Conway, and C. M. Lau. A hybrid genetic algorithm for the dynamic plant layout problem. International Journal of Production Economics, 86:107-120, 2003.
4. C. M. L. Castell, R. Lakshmanan, J. M. Skilling, and R. Bañares-Alcántara. Optimisation of process plant layout using genetic algorithms. Computers and Chemical Engineering, 22:8993-8996, 1998. Supplement 1.
5. C. A. Coello Coello. A comprehensive survey of evolutionary-based multiobjective optimization techniques. Knowledge and Information Systems, 1(3):129-156, 1999.
6. J. P. Cohoon and W. D. Paris. Genetic placement. In Proceedings of the IEEE International Conference On Computer-Aided Design, pages 422-425, 1986.
7. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A fast and elitist multi-objective genetic algorithm: Nsga-ii. Technical report, Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, 2002.
8. W. E. Donath. Complexity theory and design automation. In Proceedings of the 17th Conference On Design Automation, pages 412-419, 1980.
9. D. Dubois and H. Prade. An introduction to possibilistic and fuzzy logics. In Readings in Uncertain Reasoning, chapter IX, pages 742-762. Morgan Kaufmann, 1990.
10. K. Eguchi, J. Suzuki, S. Yamane, and K. Oshima. An Application of Genetic Algorithms to Floorplanning of VLSI. Number 1424 in Lecture Notes in Computer Science. Springer, 1998.
11. H. Esbensen. A genetic algorithm for macro cell placement. In Proceedings of the European Desing Automation Conference, pages 52-57, 1992.
12. J. P. Evans and R. E. Steuer. A revised simplex method for linear multiple objective programs. Mathematical Programming, 5:375-377, 1973.
13. M. R. Garey and D. S. Johnson. Computers and Intractability - A Guide to NP-Completeness. International Computer Science Series. Freeman, 1979.
14. M. C. Georgiadis, G. Schilling, G. E. Rotstein, and S. Macchietto. A general mathematical programming approach for process plant layout. Computers and Chemical Engineering, 7(23):823-840, 1999.
15. D. E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, 1989.
16. J. H. Holland. Adaptation in Natural and Artifcial Systems. MIT Press, 1992.
17. H. Köpcke and A. Schröder. Constraint Programming versus Logik. Vergleich zweier Ansätze zur Aufstellungsplanung von Chemieanlagen. Technical report, SFB 531, Universität Dortmund, 2004. CI-183/04.
18. D. Köster. Ein Assistenzsystem zur methodischen Unterstützung der Aufstellungsplanung von Chemieanlagen. PhD thesis, Fachbereich Chemietechnik, Universität Dortmund, 1998.
19. A. Kuziak and S. S. Heragu. The facility layout problem. European Journal of Operational Research, 29:229-251, 1987.
20. C. Y. Lee. An algorithm for path connections and its applications. IEEE Transactions On Electronic Computers, 10(2):346-365, 1961.
21. P. Leuders. Rechnergestützte Optimierung der Layoutplanung von Chemieanlagen. Shaker Verlag, 2002.
22. R. Malingriaux, K.-R. Hilbring, and L. Schuart. Zur optimalen Anordung der Elemente in Anlagen der stoffumwandelnden Industrie. Wissenschaftliche Zeitung der Technischen Hochschule Otto von Guericke, 8(14), 1970.
23. R. Meller and K. Gau. The Facility Layout Problem: Recent and Emerging Trends and Perspectives. Journal of Manufacturing Systems, 15:351-366, 1996.
24. I. Mierswa and T. Geisbe. Multikriterielle evolutionäre Aufstellungsoptimierung von Chemieanlagen unter Beachtung gewichteter Designregeln. Technical report, SFB 531, Universität Dortmund, 2004. Reihe CI.
25. F. D. Penteado and A. R. Ciric. An MINLP approach for safe process plant layout. Industrial and Engineering Chemistry Research, 4(35):1354-1361, 1996.
26. M. S. Peters, K. D. Timmerhaus, and R. E. West. Plant Design and Economics For Chemical Engineers. McGraw-Hill, 2003.
27. I. Rechenberg. Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Frommann-Holzboog, 1973.
28. V. Schnecke and O. Vornberger. Hybrid genetic algorithms for constrained placement problems. IEEE Transactions on Evolutionary Computation, 1(4):266-277, 1997.
29. K. Shahookar and P. Mazumder. VLSI cell placement techniques. ACM Computing Surveys, 2(23):143-220, 1991.
30. H. Tansri and K. C. Chan. A quantitative approach to the plant layout problem using genetic algorithms. In Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 93. Proceedings of the Sixth International Conference. Gordon and Breach, 1993.
31. W. X. Van, C. L. Ning, Y. J. W. X. Yan, C. L. Ning, and Y. Jian. Application of genetic algorithms in plant layout. Industrial Engineering and Management, 4(7):30-34, 2002.
32. P. L. Yu and M. Zeleny. The set of all nondominated solutions in linear cases and a multicriteria Simplex method. Journal of Mathematical Analysis and Applications, 49:430-468, 1975.
33. Q. Yu, S. Badida, and N. Sherwani. Algorithmic aspects of three dimensional mcm routing. In DAC '94: Proceedings of the 31st annual conference on Design automation, pages 397-401. ACM Press, 1994.
34. E. Zitzler and L. Thiele. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation, 3(4):257-271, 1999.