Solving hierarchical optimization problems using MOEAs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2632, Issue , 2003, Pages 162-176

  Haubelt, Christian ^a   Mostaghim, Sanaz ^b   Teich, Jürgen ^a   Tyagi, Ambrish ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b UNIVERSITY OF PADERBORN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CHROMOSOMES; EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION;

GENETIC OPERATORS; HIERARCHICAL OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION PROBLEMS (MOPS); NON-MONOTONICITY; OBJECTIVE SPACE; PROBLEM DESCRIPTION; SEARCH SPACES; SYSTEM SYNTHESIS;

PROBLEM SOLVING;

EID: 35248891516     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36970-8_12     Document Type: Article

References (13)

1. Josephson, J.R., Chandrasekaran, B., Carroll, M., Iyer, N., Wasacz, B., Rizzoni, G., Li, Q., Erb, D.A.: An Architecture for Exploring Large Design Spaces. In: Proc. of the Nat. Conference of AI (AAAI-98), Madison, Wisconsin (1998) 143-150
2. Abraham, S.G., Rau, B.R., Schreiber, R.: Fast Design Space Exploration Through Validity and Quality Filtering of Subsystem Designs. Technical report, Hewlett Packard, Compiler and Architecture Research, HP Laboratories Palo Alto (2000)
3. Rudolph, G., Agapie, A.: Convergence Properties of Some Multi-Objective Evolutionary Algorithms. In: Proc. of the 2000 Congress on Evolutionary Computation, Piscataway, NJ, IEEE Service Center (2000) 1010-1016
4. Dasgupta, D., McGregor, D.R.: Nonstationary Function Optimization using the . Structured Genetic Algorithm. In Männer, R., Manderick, B., eds.: Proceedings of Parallel Problem Solving from Nature (PPSN 2), Brussels, Belgium, Elsevier Science (1992) 145-154
5. Blickle, T., Teich, J., Thiele, L.: System-Level Synthesis Using Evolutionary Algorithms. In Gupta, R., ed.: Design Automation for Embedded Systems. 3. Kluwer Academic Publishers, Boston (1998) 23-62
6. Dick, R., Jha, N.: MOGAC: A Multiobjective Genetic Algorithm for Hardware-Software Cosynthesis of Distributed Embedded Systems. In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 17(10). (1998) 920-935
7. Pareto, V.: Cours d'Économie Politique. Volume 1. F. Rouge & Cie., Lausanne, Switzerland (1896)
8. Thiele, L., Chakraborty, S., Gries, M., Künzli, S.: A Framework for Evaluating Design Tradeoffs in Packet Processing Architectures. In: Proceedings of the 39th Design Automation Conference (DAC 2002). (2002) 880-885
9. Teich, J., Haubelt, C., Mostaghim, S., Slomka, F., Tyagi, A.: Techniques for Hierarchical Design Space Exploration and their Application on System Synthesis. Technical Report 1/2002, Institute Date, Department of EE and IT, University of Paderborn, Paderborn, Germany (2002)
10. Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical report, Swiss Federal Institute of Technology (ETH) Zurich (2001) TIK-Report 103. Department of Electrical Engineering.
11. Haubelt, C., Teich, J., Richter, K., Ernst, R.: Flexibility/Cost-Tradeoffs in Platform-Based Design. In Deprettere, E., Teich, J., Vassiliadis, S., eds.: Embedded Processor Design Challenges. Volume 2268 of Lecture Notes in Computer Science (LNCS)., Berlin, Heidelberg, Springer (2002) 38-56
12. Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons (2001)
13. Zitzler, E.: Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD thesis, Department of Electrical Engineering, Swiss Federal Institute of Technology (ETH) Zurich (1999)