Extending the boundaries of design optimization by integrating fast optimization techniques with machine-code-based, linear genetic programming FD Francone, LM Deschaine Information Sciences 161 (3-4), 99-120, 2004 | 42 | 2004 |
Application of the analytic hierarchy process to compare alternatives for the long-term management of surplus mercury P Randall, L Brown, L Deschaine, J Dimarzio, G Kaiser, J Vierow Journal of Environmental Management 71 (1), 35-43, 2004 | 29 | 2004 |
Use of InfoSleuth to coordinate information acquisition, tracking and analysis in complex applications LM Deschaine, R Brice, M Nodine Proceedings of Advanced Simulation Technologies Conference, 2000 | 20 | 2000 |
Discrimination of unexploded ordnance from clutter using linear genetic programming FD Francone, LM Deschaine, T Battenhouse, JJ Warren Genetic Programming Theory and Practice III, 49-64, 2006 | 17 | 2006 |
Comparison of Discipulus™ Linear Genetic Programming Soft-ware with Support Vector Machines, Classification Trees, Neural Networks and Human Experts LM Deschaine, FD Francone Register Machine Learning Technologies Inc, 2002 | 17 | 2002 |
Using genetic programming to develop a C/C++ simulation model of a waste incinerator science applications LM Deschaine International Corp, Draft Technical Report, 2000 | 17 | 2000 |
Groundwater remediation design using physics-based flow, transport, and optimization technologies LM Deschaine, TP Lillys, JD Pintér Environmental Systems Research 2, 1-21, 2013 | 14 | 2013 |
Using machine learning to complement and extend the accuracy of UXO discrimination beyond the best reported results of the Jefferson proving ground technology demonstration LM Deschaine, RA Hoover, JN Skibinski, JJ Patel, FD Francone, P Nordin, ... SIMULATION SERIES 34 (4), 46-52, 2002 | 13 | 2002 |
Decision support for complex planning challenges-Combining expert systems, engineering-oriented modeling, machine learning, information theory, and optimization technology LM Deschaine Arkitektkopia AB, 2014 | 12 | 2014 |
Solving the unsolved using machine learning, data mining and knowledge discovery to model a complex production process LM Deschaine, FA Zafran, JJ Patel, D Amick, R Pettit, FD Francone, ... Proceedings of advanced technology simulation conference, Washington, 2000 | 12 | 2000 |
Using linear genetic programming to develop a C/C++ simulation model of a waste incinerator LM Deschaine, JJ Patel, RD Guthrie, JT Grimski, MJ Ades Advanced Technology Simulation Conference, Seattle, 22-26, 2001 | 10 | 2001 |
Tackling real-world environmental engineering challenges with linear genetic programming LM Deschaine PC AI 14 (5), 35-37, 2000 | 10 | 2000 |
Getting it right at the very start-building project models where data is expensive by combining human expertise, machine learning and information theory FD Francone, LM Deschaine SIMULATION SERIES 36 (2), 162, 2004 | 7 | 2004 |
Simulation and optimization of large scale subsurface environmental impacts; investigations, remedial design and long term monitoring MD Larry Математические машины и системы, 201-218, 2003 | 7 | 2003 |
Genetic algorithms and intelligent agents team up: tehniques for data assembly, preprocessing, modeling, and optimizing decisions LM Deschaine, J McCormack, D Pyle, F Francone PC AI 15 (3), 35-40, 2001 | 6 | 2001 |
Decision Support Software to Optimize Resource Allocation-Theory and Case History LM Deschaine, B Breslau, MJ Ades, R Selg, TL Saaty SIMULATION SERIES 30, 139-144, 1998 | 6 | 1998 |
Discrimination of munitions and explosives of concern at fe warren afb using linear genetic programming FD Francone, LM Deschaine, JJ Warren Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 5 | 2007 |
White Paper: Comparison of Discipulus™(Linear Genetic Programming Software with Support Vector Machines, Classification Trees, Neural Networks and Human Experts) LM Deschaine, F Francone Available from Internet:< http://www. rmltech. com, 2004 | 5 | 2004 |
Decision support for optimal watershed load allocation TM Doley, D Benelmoouffok, LM Deschaine Society for Modeling and Simulation International Conference, Seattle, 22-26, 2001 | 5 | 2001 |
Using information fusion, machine learning, and global optimisation to increase the accuracy of finding and understanding items interest in the subsurface L Deschaine GeoDrilling International,(122), 30-32, 2006 | 4 | 2006 |