Gary B. Lamont - researchr alias

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Viewing Publication 1 - 100 from 114

2021

Multi-objective database queries in combined knapsack and set covering problem domainsSean A. Mochocki, Gary B. Lamont, Robert C. Leishman, Kyle Kauffman. jbd, 8(1):46, 2021. [doi]

2015

Resource management construct for an adaptive DBF electronic support receiverJeremy Stringer, Geoffrey Akers, Gary B. Lamont. taes, 51(1):203-216, 2015. [doi]

2014

The Real-Time Strategy Game Multi-Objective Build Order ProblemJason Blackford, Gary B. Lamont. aiide 2014: [doi]

Multi-objective optimization of dead-reckoning error thresholds for virtual environmentsJeremy R. Millar, Douglas D. Hodson, Gary B. Lamont, Gilbert L. Peterson. cts 2014: 562-569 [doi]

A signal disambiguation algorithm for use in multi-beam receiversJeremy Stringer, Geoffrey Akers, Gary B. Lamont. gacm 2014: 53-56 [doi]

2012

Solving Multicommodity Capacitated Network Design Problems Using Multiobjective Evolutionary AlgorithmsMark P. Kleeman, Benjamin A. Seibert, Gary B. Lamont, Kenneth M. Hopkinson, Scott R. Graham. tec, 16(4):449-471, 2012. [doi]

Radar phase-coded waveform design using MOEAsJeremy Stringer, Gary B. Lamont, Geoffrey Akers. cec 2012: 1-8 [doi]

2011

Multi agent system for network attack classification using flow-based intrusion detectionDavid L. Hancock, Gary B. Lamont. cec 2011: 1535-1542 [doi]

Multi agent systems on military networksDavid L. Hancock, Gary B. Lamont. cics 2011: 100-107 [doi]

Determining Solution Space Characteristics for Real-Time Strategy Games and Characterizing Winning StrategiesKurt Weissgerber, Gary B. Lamont, Brett J. Borghetti, Gilbert L. Peterson. ijcgt, 2011, 2011. [doi]

2009

2008

2007

Evolutionary algorithms for solving multi-objective problems, Second EditionCarlos Artemio Coello Coello, Gary B. Lamont, David A. van Veldhuizen. Genetic and evolutionary computation series, Springer, 2007.

An artificial immune system-inspired multiobjective evolutionary algorithm with application to the detection of distributed computer network intrusionsCharles R. Haag, Gary B. Lamont, Paul D. Williams, Gilbert L. Peterson. gecco 2007: 2717-2724 [doi]

An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network IntrusionsCharles R. Haag, Gary B. Lamont, Paul D. Williams, Gilbert L. Peterson. icaris 2007: 420-435 [doi]

Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length ChromosomesMark P. Kleeman, Gary B. Lamont. In Keshav P. Dahal, Kay Chen Tan, Peter I. Cowling, editors, Evolutionary Scheduling. Volume 49 of Studies in Computational Intelligence, pages 49-99, Springer, 2007. [doi]

Solving Multicommodity Capacitated Network Design Problems using a Multiobjective Evolutionary AlgorithmMark P. Kleeman, Gary B. Lamont, Kenneth M. Hopkinson, Scott R. Graham. cisda 2007: 33-41 [doi]

Multiobjective evolutionary algorithms for designing capacitated network centric communicationsMark P. Kleeman, Gary B. Lamont, Kenneth M. Hopkinson, Scott R. Graham. gecco 2007: 905 [doi]

UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary AlgorithmsGary B. Lamont, James N. Slear, Kenneth Melendez. cimcdm 2007: 10-20 [doi]

Self organized UAV swarm planning optimization for search and destroy using SWARMFARE simulationDustin J. Nowak, Ian C. Price, Gary B. Lamont. wsc 2007: 1315-1323 [doi]

A satellite image set for the evolution of image transforms for defense applicationsMichael R. Peterson, Gary B. Lamont, Frank Moore, Patrick Marshall. gecco 2007: 2901-2906 [doi]

Targeted filter evolution for improved image reconstruction resolutionMichael R. Peterson, Gary B. Lamont, Frank Moore, Patrick Marshall. gecco 2007: 2137-2144 [doi]

Variation operator performance for evolved image reconstruction transformsMichael R. Peterson, Gary B. Lamont, Frank Moore, Brendan Babb. SMC 2007: 2917-2922 [doi]

2006

A retrovirus inspired algorithm for virus detection & optimizationKenneth S. Edge, Gary B. Lamont, Richard A. Raines. gecco 2006: 103-110 [doi]

FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization ProblemsHamidreza Eskandari, Christopher D. Geiger, Gary B. Lamont. emo 2007: 141-155 [doi]

A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade LasersMark P. Kleeman, Gary B. Lamont, Adam Cooney, Thomas R. Nelson. emo 2007: 186-200 [doi]

The multi-objective constrained assignment problemMark P. Kleeman, Gary B. Lamont. gecco 2006: 743-744 [doi]

Coevolutionary Multi-Objective EAs: The Next Frontier?Mark P. Kleeman, Gary B. Lamont. cec 2006: 1726-1735 [doi]

MOEAs in the Design of Network Centric Systems (Abstract of Invited Talk)Gary B. Lamont. emo 2007: 4 [doi]

Improved Evolutionary Search for Image Reconstruction TransformsMichael R. Peterson, Gary B. Lamont, Frank W. Moore. cec 2006: 2880-2887 [doi]

Linear Ensemble Antennas Resulting from the Optimization of Log Periodic Dipole Arrays Using Genetic AlgorithmsTimothy L. Pitzer, James A. Fellows, Gary B. Lamont, Andrew J. Terzuoli. cec 2006: 3189-3196 [doi]

GA directed self-organized search and attack UAV swarmsIan C. Price, Gary B. Lamont. wsc 2006: 1307-1315 [doi]

2005

An effective explicit building block MOEA, the MOMGA-IIaRichard O. Day, Gary B. Lamont. cec 2005: 17-24 [doi]

MOEA design of robust digital symbol setsRichard O. Day, Abel S. Nunez, Gary B. Lamont. gecco 2005: 2213-2214 [doi]

Extended Multi-objective fast messy Genetic Algorithm Solving Deception ProblemsRichard O. Day, Gary B. Lamont. emo 2005: 296-310 [doi]

Multiobjective Quadratic Assignment Problem Solved by an Explicit Building Block Search Algorithm - MOMGA-IIaRichard O. Day, Gary B. Lamont. evoW 2005: 91-100 [doi]

MOEA design of robust digital symbol setsRichard O. Day, Abel S. Nunez, Gary B. Lamont. gecco 2005: 167-169 [doi]

Solving the Aircraft Engine Maintenance Scheduling Problem Using a Multi-objective Evolutionary AlgorithmMark P. Kleeman, Gary B. Lamont. emo 2005: 782-796 [doi]

Solving the aircraft engine maintenance scheduling problem using a multi-objective evolutionary algorithmMark P. Kleeman, Gary B. Lamont. gecco 2005: 196-198 [doi]

Balanced accuracy for feature subset selection with genetic algorithmsMichael R. Peterson, Michael L. Raymer, Gary B. Lamont. cec 2005: 2506-2513 [doi]

Using a multiobjective evolutionary algorithm to develop a quantum cascade laser operating in the terahertz frequency rangeAndres F. Rodriguez, Traci A. Keller, Gary B. Lamont, Thomas R. Nelson. cec 2005: 9-16 [doi]

On using SPEEDES as a platform for a parallel swarm simulationMatthew A. Russell, Gary B. Lamont, Kenneth Melendez. wsc 2005: 1129-1137 [doi]

A genetic algorithm for unmanned aerial vehicle routingMatthew A. Russell, Gary B. Lamont. gecco 2005: 1523-1530 [doi]

An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selectionJoseph M. Shapiro, Gary B. Lamont, Gilbert L. Peterson. gecco 2005: 337-344 [doi]

An evolutionary algorithm to generate ellipsoid network intrusion detectorsJoseph M. Shapiro, Gary B. Lamont, Gilbert L. Peterson. gecco 2005: 178-180 [doi]

2004

Parallel Simulation of UAV Swarm ScenariosJoshua J. Corner, Gary B. Lamont. wsc 2004: 355 [doi]

Multi-objective fast messy genetic algorithm solving deception problemsRichard O. Day, Mark P. Kleeman, Gary B. Lamont. cec 2004: 1502-1509 [doi]

Force field approximation using artificial neural networksRichard O. Day, Gary B. Lamont. cec 2004: 1020-1027 [doi]

An artificial immune system strategy for robust chemical spectra classification via distributed heterogeneous sensorsMark A. Esslinger, Gary B. Lamont, Hoda S. Abdel-Aty-Zohdy, Robert L. Ewing. cec 2004: 1036-1043 [doi]

Detecting novel steganography with an anomaly-based strategyJacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont. jei, 13(4):860-870, 2004. [doi]

Analysis of a Parallel MOEA Solving the Multi-objective Quadratic Assignment ProblemMark P. Kleeman, Richard O. Day, Gary B. Lamont. gecco 2004: 402-403 [doi]

Multi-objective evolutionary search performance with explicit building-block sizes for NPC problemsMark P. Kleeman, Richard O. Day, Gary B. Lamont. cec 2004: 728-735 [doi]

2003

Different Multi-objective Evolutionary Programming Approaches for Detecting Computer Network AttacksKevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch, Gary B. Lamont. emo 2003: 707-721 [doi]

Multiobjective Meta Level Optimization of a Load Balancing Evolutionary AlgorithmDavid J. Caswell, Gary B. Lamont. emo 2003: 177-191 [doi]

Distributed processor allocation for discrete event simulation and digital signal processing using a multiobjective evolutionary algorithmDavid J. Caswell, Gary B. Lamont. cec 2003: 1803-1810 [doi]

Protein Structure Prediction by Applying an Evolutionary AlgorithmRichard O. Day, Gary B. Lamont, Ruth Pachter. ipps 2003: 155 [doi]

Solving the multi-objective quadratic assignment problem using a fast messy genetic algorithmRichard O. Day, Mark P. Kleeman, Gary B. Lamont. cec 2003: 2277-2283 [doi]

Wavelet-based steganalysis using a computational immune system approachJacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont. vcip 2003: 1884-1894

Novel steganography detection using an artificial immune system approachJacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont. cec 2003: 139-145 [doi]

Blind Stenanography Detection Using a Computational Immune System: A Work in ProgressJacob T. Jackson, Gregg H. Gunsch, Gary B. Lamont, Roger L. Claypoole Jr.. ijde, 1(4), 2003. [doi]

In situ bioremediation of perchlorate-contaminated groundwater using a multi-objective parallel evolutionary algorithmMark R. Knarr, Mark N. Goltz, Gary B. Lamont, Junqi Huang. cec 2003: 1604-1611 [doi]

Visualizing particle swarm optimization - Gaussian particle swarm optimizationBarry R. Secrest, Gary B. Lamont. kit 2003: 198-204 [doi]

Considerations in engineering parallel multiobjective evolutionary algorithmsDavid A. van Veldhuizen, Jesse B. Zydallis, Gary B. Lamont. tec, 7(2):144-173, 2003.

Explicit building-block multiobjective evolutionary algorithms for NPC problemsJesse B. Zydallis, Gary B. Lamont. cec 2003: 2685-2695 [doi]

2002

The computer defense immune system: current and future research in intrusion detectionKevin P. Anchor, Paul D. Williams, Gregg H. Gunsch, Gary B. Lamont. cec 2002: 1027-1032 [doi]

An evolutionary programming approach for detecting novel computer network attacksKevin P. Anchor, Gary B. Lamont, Gregg H. Gunsch. cec 2002: 1618-1623 [doi]

Evolutionary Programming Based Stratified Design Space SamplingBrian K. Beachkofski, Gary B. Lamont. gecco 2002: 193-200

Load balancing for heterogeneous clusters of PCsChristopher A. Bohn, Gary B. Lamont. fgcs, 18(3):389-400, 2002. [doi]

Wire-antenna geometry design with multiobjective genetic algorithmsDavid J. Caswell, Gary B. Lamont. cec 2002: 103-108 [doi]

Evolutionary algorithms for solving multi-objective problemsCarlos Artemio Coello Coello, David A. van Veldhuizen, Gary B. Lamont. Volume 5 of Genetic algorithms and evolutionary computation, Kluwer, 2002.

Analysis of fine granularity and building block sizes in the parallel fast messy GARichard O. Day, Jesse B. Zydallis, Gary B. Lamont, Ruth Pachter. cec 2002: 127-132 [doi]

An artificial immune system architecture for computer security applicationsPaul K. Harmer, Paul D. Williams, Gregg H. Gunsch, Gary B. Lamont. tec, 6(3):252-280, 2002.

Parallel Radar Clutter Classification Evaluation and OptimizationNathan A. Jensen, Gary B. Lamont. pdpta 2002: 1995-2001

A particle swarm model for swarm-based networked sensor systemsB. Anthony Kadrovach, Gary B. Lamont. SAC 2002: 918-924 [doi]

Use of mendelian pressure in a multi-objective genetic algorithmB. Anthony Kadrovach, Jesse B. Zydallis, Gary B. Lamont. cec 2002: 962-967 [doi]

Issues in parallelizing multiobjective evolutionary algorithms for real world applicationsDavid A. van Veldhuizen, Jesse B. Zydallis, Gary B. Lamont. SAC 2002: 595-602 [doi]

Multiobjective Evolutionary Algorithm Approach For Solving Integer Based Optimization ProblemsJesse B. Zydallis, Todd A. Sriver, Gary B. Lamont. gecco 2002: 1276

2001

Linkage-learning genetic algorithm application to the protein structure prediction problemKarl R. Deerman, Gary B. Lamont, Ruth Pachter. SAC 2001: 333-339 [doi]

An Interactive Video Course in Multidisciplinarity and Collaborative Design for Systems on a ChipRobert L. Ewing, Gary B. Lamont, C. Brothers, Mark Oxley, C. Purdy, H. Carter, F. Beyette Jr., J. Boyd, Hoda S. Abdel-Aty-Zohdy, S. Bibyk, Y. Zheng, Krishnaprasad Thirunarayan. mse 2001: 87-88 [doi]

Load Balancing Search Algorithms on a Heterogeneous Cluster of PCsSteven R. Michaud, Jesse B. Zydallis, David M. Strong, Gary B. Lamont. ppsc 2001:

CDIS: Towards a Computer Immune System for Detecting Network IntrusionsPaul D. Williams, Kevin P. Anchor, John L. Bebo, Gregg H. Gunsch, Gary B. Lamont. raid 2001: 117-133 [doi]

A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-IIJesse B. Zydallis, David A. van Veldhuizen, Gary B. Lamont. emo 2001: 226-240 [doi]

2000

Multiobjective Optimization with Messy Genetic AlgorithmsDavid A. van Veldhuizen, Gary B. Lamont. SAC 2000: 470-476

Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-ArtDavid A. van Veldhuizen, Gary B. Lamont. ec, 8(2):125-147, 2000.

On measuring multiobjective evolutionary algorithm performanceDavid A. van Veldhuizen, Gary B. Lamont. cec 2000: 204-211 [doi]

1999

1998

Evolutionary Algorithms Combined with Deterministic SearchGary B. Lamont, Scott M. Brown, George H. Gates Jr.. eps 1998: 517-526

A distributed architecture for an adaptive computer virus immune systemRobert E. Marmelstein, David A. van Veldhuizen, Gary B. Lamont. SMC 1998: 3838-3843 [doi]

Scalability of an MPI-based fast messy genetic algorithmLaurence D. Merkle, George H. Gates Jr., Gary B. Lamont. SAC 1998: 386-393 [doi]

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