Evolutionary optimization techniques on computational grids

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

Volumn 2329 LNCS, Issue PART 1, 2002, Pages 513-522

  Abdalhaq, Baker ^a   Cortés, Ana ^a   Margalef, Tomás ^a   Luque, Emilio ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORESTATION; GENETIC ALGORITHMS; OPTIMIZATION;

CLASSICAL OPTIMIZATION; COMPUTATIONAL GRIDS; COMPUTE-INTENSIVE TASKS; EVOLUTIONARY OPTIMIZATION TECHNIQUES; EVOLUTIONARY TECHNIQUES; FRAMEWORK ARCHITECTURE; OPTIMIZATION FRAMEWORK; OPTIMIZATION STRATEGY; ENVIRONMENTAL MODEL;

GRID COMPUTING;

EID: 84876944064     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46043-8_52     Document Type: Conference Paper

References (10)

1. Czyzyk J., Mesnier M.P., More J.J.: The Network-Enabled Optimization Systems (NEOS) Server. Preprint MCS-P615-1096, Argonne National Laboratory, Argone, Illinois, (1997).
2. Ferris M., Mesnier M., More J.: NEOS and Condor: Solving optimization problems over the Internet, Preprint ANL/MCS-P708-0398, available at http://wwwunix.mcs.anl.gov/metaneos, (March 1998)
3. Linderoth J. and Wright S.J: Computational Grids for Stochastic Programming, Optimization. Technical Report 01-01, UW-Madison, Wisconsin-USA,(October 2001)
4. Livny M. and Raman R.: High Throughput Resource Management, Computational Grids: The Future of High-Performance Distributed Computing. Edited by Ian Foster and Carl Kesselman, published by Morgan Kaufmann (1999)
5. Goux J.-P., Kulkarni S., Linderoth J., Yoder M.: An enabling framework for master-worker applications on the computational grid. Proceedings of the Ninth IEEE Symposium on High Performance Distributed Computing (HPDC9), Pittsburgh, Pennsylvania, (August 2000) 43-50
6. Geist A., Beguelin A., Dongarra J., Jiang W., Manchek R. and Sunderam V.: PVM: Parellel Virtual Machine A User's Guide and Tutorial for Networked Parallel Computing. MIT Press (1994)
7. Heymann E., Senar M.A., Luque E. and Livny M.: Evaluation of an Adaptive Scheduling Strategy for Master-Worker Applications on Clusters of Workstations. Proceedings of the 7th International Conference on High Performance Computing (HiPC'2000), LNCS series, vol. 1971 (2000) 214-227
8. Jorba J., Margalef T., Luque E., J. Campos da Silva Andre, D. X Viegas: Parallel Approah to the Simulation Of Forest Fire Propagation. Proc. 13 Internationales Symposium "Informatik fur den Umweltshutz" der Gesellshaft Fur Informatik (GI). Magdeburg (1999)
9. Reiher E., Said F., Li Y. and Suen C.Y.: Map Symbol Recognition Using Directed Hausdorff Distance and a Neural Network Classifier. Proceedings of International Congress of Photogrammetry and Remote Sensing, Vol. XXXI, Part B3, Vienna, (July 1996) 680-685
10. Thomas Baeck, Ulrich Hammel, and Hans-Paul Schwefel: Evolutionary Computation: Comments on the History and Current State. IEEE Transactions on Evolutionary Computation, Vol. 1, num.1 (April 1997) 3-17