In Review

  • Hou , H. and Dozier , G. (in review). “GENERTIA: A System for Immunity-Based IDS Design , Analysis and Redesign Using a Genetic Arms Race” ,IEEE Transactions on Evolutionary Computation.
  • Unsal, E., Dozier, G., and Dane, J. (in  review). “A Novel Optimization Process for Prediction of Complex Pore Geometry via Genetic Search ,” The International Journal of Intelligent Automation and Soft Computing (AutoSoft).

 

To Appear

  • Unsal , E. , Dane , J. , Schwartz , P. , and Dozier , G. (to appear). “Modeling Displacement Properties of Immiscible Fluids in Porous Media ,” Simulation. 
  • Dozier , G. , Brown , D. , Hou, H., and Hurley J. (to appear). “Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using Genetic and Evolutionary Hackers” ,Journal of Applied Soft Computing, Elsevier.
  • Dozier , G. , Cunningham , H. , Britt , W. , Wang, Y., Seals, C., and Zhang , F. (to appear). “Distributed Constraint Satisfaction , Restricted Recombination , and Genetic Protocols” ,Journal of Applied Soft Computing, Elsevier.  
  • Hull, P., SanSoucie, M., and Dozier, G. (to appear). “Evolutionary Optimization of a Genetically Inspired Truss for Space
    Applications”, Structural and Multidisciplinary Optimization, Springer-Verlag.
  • Simionescu , A. , Beale , D. , and Dozier , G. (2006). “Teeth-Number Synthesis of a Multispeed Planetary Transmission Using an Estimation OF Distribution Algorithm” ,The Journal of Mechanical Design, January 2006.
  • Yapicioglu , H. , Smith , A. , and Dozier , G. (to appear). “Solving the Semi-Desirable Facility Location Problem Using Bi-objective Particle Swarm” ,The European Journal of Operations Research.

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2005

  • Dozier , G. (2005). “Recurrent Distributed Constraint Satisfaction , Virtual Constraints , and Meta-Evolutionary Protocols ,” The International Journal of Knowledge-Based Intelligent Engineering Systems(KES) , Volume 9 , Number 1 , pp. 21-32 , IOS Press.
  • Dozier , G. , Rupela , V. , and Fu , S.-G. (2005). “Distributed Asymmetric Constraint Satisfaction , the Phase Transition , and Evolutionary Protocols ,” The International Journal of Intelligent Automation and Soft Computing (AutoSoft), Vol. 11, No. 4, pp.259-275, TSI Press.
  • Dozier , G. , Carnahan , B. , Seals , C. , Kuntz , L.-A. , and Fu , S.-G. (2005). “An IDEA for Design” ,The International Journal of Education and Information Technology,  2(1), 21-35, September 2005.
  • Unsal , E. , Dane , J. H. , and Dozier , G. V. (2005). “A Genetic Algorithm for Predicting Pore Geometry Based on Air Permeability Measurements” ,The Vadose Zone Journal,   4:389-397 (2005), Soil Science Society of America, Madison, WI. 
  • Hou , H. and Dozier , G. (2005). “Immunity-Based Intrusion Detection System Design , Vulnerability Analysis , and the GENERTIA Genetic Arms Race ,” The Proceedings of the 2005 ACM Symposium on Applied Computing, pp. 961-965,  Santa Fe.

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2004

  • Dozier , G. , Cunningham , H. , Britt , W. , and Zhang , F. (2004). “Distributed Constraint Satisfaction , Restricted Recombination , and Hybrid Genetic Search ,” The Proceedings of the 2004 Genetic and Evolutionary Computation Conference (GECCO-2004) ,LNCS pp. 1078-1087 , June 2004 , Seattle , WA. Springer [Nominated for Best Paper Award  (Genetic Algorithms)].  
  • Dozier , G. , Brown , D. , Hurley , J. , and Cain , K. (2004). “Vulnerability Analysis of Immunity-Based Intrusion Detection Systems Using  Evolutionary Hackers ,” The Proceedings of the 2004 Genetic and Evolutionary Computation Conference (GECCO-2004) , LNCS 3102 , pp. 263-274 , Seattle , WA , June 2004. Springer  [Best Paper Award (Artificial Immune Systems)].
  • Dozier , G. (2004). “Recurrent Distributed Constraint Satisfaction via Genetic and Evolutionary Societies of Hill-Climbers ,” The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004) ,pp. 273-279 , Portland , OR , June 19-23 , 2004. Dozier , G. , Brown , D. , Hurley , J. , and Cain , K. (2004). “Vulnerability Analysis of AIS-Based Intrusion Detection Systems via Genetic and Particle Swarm Red Teams ,” The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004) , pp. 111-116 , Portland , OR , June 19-23 , 2004.
  • Imsand , E. , Evans , G. , Dozier , G. and Hamilton , J. A. (2005). “Using Genetic Algorithms to Aid in a Vulnerability Analysis of National Missile Defense Simulation Software” ,Journal of Defense Modeling  Simulation, Volume 1, Issue 4, October 2004, pp. 215-223, The Society for Modeling and Simulation International.
  • Zhang , F. , and Dozier , G. (2004). “A Comparison of Distributed Restricted Recombination Operators for Genetic and Evolutionary Societies of Hill-Climbers: A DisACSP Perspective ,”  The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004) ,pp. 1988-1995 , Portland , OR , June 19-23 , 2004.
  • Hou , H. , and Dozier , G. (2004). “Comparing Performance of Binary-Coded Detectors and Constraint-Based Detectors ,” The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004) , pp. 772-777 , Portland , OR , June 19-23 , 2004.
  • Dengiz , O. , Dozier , G. , and Smith , G. (2004). “Non-deterministic Decoding with Memory to EnhancePrecision in Binary-Coded Genetic Algorithms ,” The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004) , pp. 2166-2172 , Portland , OR , June 19-23 , 2004.  
  • Yapicioglu , H. , Dozier , G. , and Smith , A. (2004). “Bi-criteria Model for Locating a Semi-desirable Facility on a Plane Using Particle Swarm Optimization ,” The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004) ,pp. 2328-2334 , Portland , OR , June 19-23 , 2004.  
  • Simionescu , P. , Beale , D. , and Dozier , G. (2004). “Constrained Optimization Problem Solving Using Estimation of Distribution Algorithms ,” The Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004) , pp. 296-302 , Portland , OR , June 19-23 , 2004.  

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2003

  • Dozier , G. (2003). “A Comparison of Static and Adaptive Replacement Strategies for Distributed Steady-State Evolutionary Path Planning in Non-Stationary Environments ,” International Journal of Knowledge-Based Intelligent Engineering Systems (KES) , Vol. 7 , No. 1 , pp. 1-8 , January 2003 ,  KES International. 
  • Dozier , G. (2003). “Sharing the Sensor Web via Recurrent Distributed Meta-Evolutionary Constraint Satisfaction ,” Proceedings of the 2003 Conference on Space Mission Challenges for Information Technology (SMC-IT 2003) , pp. 153-160 , July 13-16 , Pasadena , CA.
  • Dozier , G. (2003). “IDS Vulnerability Analysis Using G ENERTIA Red Teams” ,Proceedings of the 2003 International Conference on Security and Management(SAM'03) , pp.171-176 , June 23-26 , 2003 , Las Vegas , Nevada.
  • Dozier , G. (2003). “Distributed Recurrent Constraint Satisfaction , Virtual Constraints , and Meta-Evolutionary Societies of Hill-Climbers” ,Proceedings of the 2003 International Conference on Artificial Intelligence (IC-AI'03) , pp. 276-282 , June 23-26 , 2003 , Las Vegas , Nevada.
  • G. Dozier , “Solving Distributed Asymmetric Constraint Satisfaction Problems Using an Evolutionary Society of Hill-Climbers” ,The Proceedings of the 2003 Genetic and Evolutionary Computation Conference (GECCO 2003) , pp. 561-572, July 12-16 , Chicago , IL.
  • Fu, S. and Dozier, G. V. “Solving Distributed Constraint Satisfaction Problems with an Ant-Like Society of Hill-Climbers.” IC-AI 2003: 263-269.

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2002

  • Carlisle, A. and Dozier, G. (2002). “Tracking Changing Extrema with Adaptive Particle Swarm Optimizer, ” The Proceedings of the 2002 World Automation Congress (International Symposium on Soft Computing in Industry) , pp. 265-270 , Orlando , FL , isbn: 1-889335-18-8 , TSI Press.
  • Dozier ,  G. (2002). “Solving Distributed Asymmetric CSPs via a Society of Hill-Climbers” ,Proceedings of the 2002 International Conference on Artificial Intelligence , pp. 949-953.
  • Dozier , G. (2002). “Distributed Recurrent Constraint Satisfaction via a Genetic Society of Hill-Climbers” ,Proceedings of the 2002 International Conference on Artificial Intelligence , pp. 1400-1403.
  • Dozier, G. (2002). “ A comparison of adaptive virtual constraint identification strategies for recurrent dynamic constraint satisfaction”,
    Proceedings of the 2002 Congress on Evolutionary Computation, Volume 1,  pp. 552-557, 12-17 May 2002.
  • Dozier, G. (2002). “Distributed Constraint Satisfaction via a Society of Hill-Climbers,”  The Proceedings of the 2002 World Automation Congress (International Symposium on Soft Computing in Industry) ,[Best Paper Award for the International Symposium on Soft Computing for Industry] pp. 313-318 , Orlando , FL , isbn: 1-889335-18-8 , TSI Press.
  • Hou , H. , Zhu , J. , and Dozier , G. (2002). “Artificial Immunity Using Constraint-Based Detectors” ,The Proceedings of the 2002 World Automation Congress (International Symposium on Soft Computing in Industry) , pp. 239-244 , Orlando , FL , isbn: 1-889335-18-8 , TSI Press.
  • Fu, S. and Dozier, G. (2002). “Discrete Distributed Hill-Swarming,” Proceedings of the 2002 IC-AI, pp. 1413-1418, CSREA Press.
  • Rupela, V. and Dozier, G. (2002). “Parallel and Distributed Evolutionary Computations for Multimodal Function Optimization,” The Proceedings of the 2002 World Automation Congress (International Symposium on Soft Computing in Industry) , pp. 307-312 , Orlando , FL , isbn: 1-889335-18-8 , TSI Press.

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2001

  • Ahmad, H.,  Dozier, G., and Roland, D. (2001). “Egg Price Forecasting Using Neural Networks, ”The Journal of Applied Poultry
    Research    , Volume 10 pp. 162-171, Poultry Science Association, Inc.
  • Carlisle , A. and Dozier , G. (2001). “An Off-the-Shelf PSO” ,The Proceedings of the 2001 Particle Swarm Optimization Workshop , pp. 1-6.
  • Dozier , G. (2001). “Evolving Robot Behavior via Interactive Evolutionary Computation: From Real-World to Simulation” ,Proceedings of the 2001 ACM Symposium on Applied Computing , pp. 340-344.
  • Dozier , G. (2001). “Evolutionary Hill-Climbing , Virtual Constraints , and Recurrent Dynamic CSPs” ,The Proceedings of the 2001 Genetic and Evolutionary Computation Conference , pp. 758 , Morgan Kaufmann.
  • Dozier , G. (2001). “Distributed Steady-State Neuro-Evolutionary Path Planning in Non-Stationary Environments Using Adaptive Replacement” , Proceedings of the 2000 Genetic and Evolutionary Computation Conference ,  pp. 58-65 , Las Vegas , NV , July 10-12 , Morgan Kaufmann.
  • Yu, H.,  Dozier, G., Chi, C.-J., and Bi, Q. “Hybrid Evolutionary Motion Planning for Mobile Robots,” The International Journal of
    Knowledge-Based Intelligent Engineering Systems    , vol. 5, no. 4, pp. 203-212, October 2001, KES International.

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2000

  • Carlisle, A. and Dozier , G. (2000). “Adapting Particle Swam Optimization to Dynamic Environments” ,The Proceedings of the 2000 International Conference on Artificial Intelligence , H.R. Arabnia (Ed.) , Volume I , pages 429-433 , Las Vegas , NV , June 26-29 , CSREA.
  • Dozier , G. , Homaifar , A. , and Tunstel , E. (2000). “Distributed Neuro-Evolutionary Path Planning in Non-Stationary Evironments” ,The 8 th International Symposium on Robotics with Applications (as part of the 2000 World Automation Congress (WAC’2000)) , pp. ISORA:59.1-59.6 , Maui , Hawaii , June 11-16 , TSI Press.
  • Dozier , G. , Tunstel , E. , and Homaifar , A. (2000). “Distributed Neuro-Evolutionary Path Planning” ,Proceedings of the 5 th Joint Conferences on Information Sciences , Vol. 1 , pp. 586-589 , Atlantic City , NJ , Feb. 27 – March 3 , Association for Intelligent Machinery , Inc.
  • Dozier , G. (2000). “Distributed Steady-State Evolutionary Path Planning in Non-Stationary Environments , Adaptive Replacement , and Hyper-Diversity” ,The 2000 Proceedings of Parallel Problem Solving from Nature (PPSN-VI). , pp. 561-570 , Paris , France. Sept. 18-20.
  • Dozier , G., Tunstel , E.,  and Homaifar , A. (2000). “Distributed Neuro-Evolutionary Path Planning” ,Proceedings of the 5 th Joint Conferences on Information Sciences , Vol. 1 , pp. 586-589 , February 27 – March 3 , 2000.
  • Dozier , G., Homaifar , A., and Tunstel, E. (2000). “Neuro-Evolutionary Path Planning” ,Proceedings of the 5 th Joint Conferences on Information Sciences , Vol. 1 , pp. 1027-1030 , February 27 – March 3 , 2000.
  • Dozier, G. (2000). “Commentary on: A Nonlinear, GA-Optimized, Fuzzy Logic System for the Evaluation of Multisource Biofunctional Intelligence,” The Journal of Mind and Behavior (Special Issue: Brain, Knowledge, and Self-Regulation),Winter \& Spring 2000, Volume 21, Numbers 1 and 2, pp. 149-152, The Institute of Mind and Behavior, Inc.. 
  • Homaifar,A., Battle, D., Tunstel, E., and Dozier, G. (2000). “Genetic Programming Design of Fuzzy Logic Controllers for Mobile Robot Path Tracking,” The International Journal of Knowledge-Based Engineering Systems, Vol. 4, No. 1, pp. 33-52, January 2000, KES International.
  • Testa , L. , Esterline , A. , Dozier , G. , and Homaifar , A. (2000). “A Comparison of Operators for Solving Time Dependent Traveling Salesman Problems Using Genetic Algorithms” , ” , Proceedings of the 2000 Genetic and Evolutionary Computation Conference ,  pp. 995-1002 , Las Vegas , NV , July 10-12 , Morgan Kaufmann.

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1999

  • D. Battle , A. Homaifar , E. Tunstel , and G. Dozier , “Genetic Programming of Full Knowledge Bases for Fuzzy Logic Controllers” ,The Proceedings of the 1999 Genetic and Evolutionary Computation Conference , pp. 1463-1468. Morgan Kaufmann.
  • Kamiaghalam , B., Homaifar , A., Bikdash , M., and Dozier , G. (1999). “A Genetic Algorithm Solution for Unconstrained Optimal Crane Control” ,The Proceedings of the 1999 Congress on Evolutionary Computation , pp. 2124-2130 , IEEE Press.
  • Szekely , G., Padgett , M. L., and Dozier , G. (1999). “Evolutionary Computation Enhancement of Olfactory System Model” ,The Proceedings of the 1999 Congress on Evolutionary Computation , pp. 503-510. IEEE Press. 
  • Testa, L.,  Esterline, A., and Dozier, G. (1999). “Evolving Efficient Theme Park Tours,” Journal of Computing and Information Technology (CIT), Vol. 7, No. 1, pp. 77-92, June 1999, University Computing Centre.

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1998

  • Dozier, G.,  Homaifar, A., Bryson, S., and Bikdash, M. (1998). “Artificial Potential Field-Based Motion Planning/Navigation, Dynamic
    Constrained Optimization and Simple Genetic Hill-Climbing,” Simulation, Vol. 71, No. 3, pp. 168-181, September 1998, The Society for Computer Simulation International.
  • Dozier, G., Bowen, J. and Homaifar, A. (1998). “Solving Constraint Satisfaction Problems Using Hybrid Evolutionary Search,”IEEE Transactions on Evolutionary Computation, Vol. 2, No. 1, pp. 23-33, April 1998, IEEE Press.

 

1997

  • Dozier, G., Bowen, J., Homaifar, A. and Esterline, A. (1997). “Solving Randomly Generated Static and Dynamic Fuzzy Constraint Networks Using Microevolutionary Hill-Climbing,” The International Journal of Intelligent Automation and Soft Computing (AutoSoft), Vol. 3 No. 1 pp. 51-62, AutoSoft Press.

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