Development of parallel applications for MEGA-D — System for oil and gas prospecting

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

Volumn 1225, Issue , 1997, Pages 223-231

  Dzwinel, Witold ^a   Dzwinel, Jan ^b   Dzwinel, Krzysztof ^b  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

^b Polservice Geopros   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; GENETIC ALGORITHMS; GEOPHYSICS;

COMPUTATIONAL POWER; FEATURES EXTRACTION; HIGH PERFORMANCE COMPUTING; HYPOTHESES GENERATION; PARALLEL APPLICATION; RELEVANT FEATURES; SELECTION PROCEDURES; SYSTEM COMPONENTS;

PETROLEUM PROSPECTING;

EID: 84979085808     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0031595     Document Type: Conference Paper

References (15)

1. Almuallim, H., and Dietterich, T., G., 1991, "Learning With Many Irrelevant Features", Proc. of the 9-th National Conference on Artificial Intelligence (AAAI- 91), 547-552.
2. Blasiak, J., 1996, "Parallel Realization of Mapping Algorithm Using Particles", M. Sc. Thesis, University of Mining and Metallurgy, Cracow, Poland.
3. Broda, A., and Dzwinel, W., 1996, "Spatial Genetic Algorithm and its Parallel Implementation", Lecture Notes in Computer Science PARA '96,1184, 97-106.
4. Cantu-Paz E., 1995, " A Summary of Research on Parallel Genetic Algorithms", IlliGAL Report No. 95007, July 1995.
5. Dzwinel, J., 1983, "Fundamental Concept and Practical Aspects of the Cybernetic System for Direct Exploration of Mineral Deposits", Acta Geophysica Polonica, XXXI, 3, 297.
6. Dzwinel, J., 1983, "The Structure and Algorithm of the Cybernetic Exploration System for Mineral Deposits", Acta Geophysica Polonica, XXXI, 3, 306.
7. Dzwinel, J., 1986, "Method and System for Direct Prospecting of Hydrocarbon Deposits", United States Patent, No. 4, 633. 182. Dec. 30 1986.
8. Dzwinel, W., 1994, "How to Make Sammon's Mapping Useful for Multidimensional Data Structures Analysis?", Pattern Recognition, 27, 7, 949-959.
9. Dzwinel, W., 1995, "In Search for the Global Minimum in Problems of Features Extraction and Selection", Proc. of the 3 Congress on Intelligent Techniques and Soft Computing, EUFIT'95, 28-31 August 1995, Aachen, 3, 1326.
10. Dzwinel, W., and Blasiak, J., 1995, "Pattern Recognition via Molecular Dynamics on Vector Supercomputers and Networked Workstations", Lecture Notes in Computer Science, HPCN'95, 919, 508, Springer-Verlag, Berlin 1995.
11. Dzwinel, J., Dzwinel, K., and Dzwinel, W., 1996, "Pattern Recognition Methods Implemented in MEGA-D - the System for Oil and Gas Prospecting", Proc. of the Second International Conference on Application of Fuzzy Systems and Soft Computing, ICAFS'96, 25-27 June 1996, Siegen, Germany.
12. Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company.
13. Manfoud, S. and Goldberg, D., 1995, "Parallel Recombinative Simulated Annealing: A Genetic Algorithm", Parallel Computing, 21, 1.
14. Vafaie, H., and De Jong K., 1992, "Genetic algorithms as a Tool for Feature Selection Machine Learning", Proc. of the 4thInternational Conference on Tools with Artificial Intelligence, Arlington, VA, November 1992.
15. Vafaie, H., and Imam, I., F., 1994, "Feature Selection Methods: Genetic Algorithms vs. Greedy-like Search", George Mason University Reports.