Larry Deschaine
Larry Deschaine
Chalmers University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Using genetic programming to develop a C/C++ simulation model of a waste incinerator science applications
LM Deschaine
International Corp, Draft Technical Report, 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
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
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
Decision support for complex planning challenges-Combining expert systems, engineering-oriented modeling, machine learning, information theory, and optimization technology
LM Deschaine
Arkitektkopia AB, 2014
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
Tackling real-world environmental engineering challenges with linear genetic programming
LM Deschaine
PC AI 14 (5), 35-37, 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
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
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
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
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
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
Decision support for optimal watershed load allocation
TM Doley, D Benelmoouffok, LM Deschaine
Society for Modeling and Simulation International Conference, Seattle, 22-26, 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
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