| * | 2009 |
|---|
| 63 | | Lihong Xu,
Erik D. Goodman,
Guoliang Chen,
Darrell Whitley,
Yongsheng Ding:
Genetic and Evolutionary Computation Conference, GEC Summit 2009, Proceedings, Shanghai, China, June 12-14, 2009
ACM 2009 |
| 62 | EE | Jean-François Dupuis,
Zhun Fan,
Erik D. Goodman:
Evolved finite state controller for hybrid system.
GEC Summit 2009: 105-112 |
| 61 | EE | Qingsong Hu,
Lihong Xu,
Erik D. Goodman:
Non-even spread NSGA-II and its application to conflicting multi-objective compatible control.
GEC Summit 2009: 223-230 |
| 60 | EE | Jinchao Liu,
Zhun Fan,
Erik D. Goodman:
SRDE: an improved differential evolution based on stochastic ranking.
GEC Summit 2009: 345-352 |
| 59 | EE | Prakarn Unachak,
Erik D. Goodman:
Adaptive representation for flexible job-shop scheduling and rescheduling.
GEC Summit 2009: 511-516 |
| 58 | EE | Lihong Xu,
Bingkun Zhu,
Erik D. Goodman:
An improved MOCC with feedback control structure based on preference.
GEC Summit 2009: 651-656 |
| 57 | EE | John C. Oliva,
Erik D. Goodman:
Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms.
GECCO 2009: 1577-1584 |
| 56 | EE | Jinchao Liu,
Zhun Fan,
Erik D. Goodman:
SRaDE: an adaptive differential evolution based on stochastic ranking.
GECCO 2009: 1871-1872 |
| 55 | EE | Qingsong Hu,
Lihong Xu,
Erik D. Goodman:
Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II.
GECCO 2009: 1927-1928 |
| 54 | EE | Kisung Seo,
Soohwan Hyun,
Erik D. Goodman:
Tree-structure-aware GP operators for automatic gait generation of quadruped robot.
GECCO (Companion) 2009: 2155-2160 |
| 53 | EE | Ping Wu,
Erik D. Goodman,
Tang Jiang,
Min Pei:
A hybrid GA-based fuzzy classifying approach to urinary analysis modeling.
GECCO (Companion) 2009: 2671-2678 |
| 52 | EE | Erik D. Goodman:
Introduction to genetic algorithms.
GECCO (Companion) 2009: 2753-2774 |
| 2008 |
|---|
| 51 | EE | Zhenhua Li,
Erik D. Goodman:
A practical search index and population size analysis based on the building block hypothesis.
GECCO 2008: 1123-1124 |
| 50 | EE | Erik D. Goodman:
Introduction to genetic algorithms.
GECCO (Companion) 2008: 2277-2298 |
| 49 | EE | Zhenhua Li,
Erik D. Goodman:
Exploring Building Blocks through Crossover.
ISICA 2008: 707-714 |
| 48 | EE | Erik D. Goodman,
Ronald C. Averill,
Ranny Sidhu:
Multi-Level Decomposition for Tractability in Structural Design Optimization.
Evolutionary Computation in Practice 2008: 41-62 |
| 47 | EE | Jianjun Hu,
Erik D. Goodman,
Shaobo Li,
Ronald C. Rosenberg:
Automated synthesis of mechanical vibration absorbers using genetic programming.
AI EDAM 22(3): 207-217 (2008) |
| 46 | EE | Jiachuan Wang,
Zhun Fan,
Janis P. Terpenny,
Erik D. Goodman:
Cooperative body-brain coevolutionary synthesis of mechatronic systems.
AI EDAM 22(3): 219-234 (2008) |
| 45 | EE | Zhun Fan,
Jiachuan Wang,
Sofiane Achiche,
Erik D. Goodman,
Ronald C. Rosenberg:
Structured synthesis of MEMS using evolutionary approaches.
Appl. Soft Comput. 8(1): 579-589 (2008) |
| 2007 |
|---|
| 44 | EE | Zhenhua Li,
Erik D. Goodman:
Learning building block structure from crossover failure.
GECCO 2007: 1280-1287 |
| 43 | EE | Sofiane Achiche,
Wei Wang,
Zhun Fan,
Ali Gürcan Özkil,
Torben Sørensen,
Jiachuan Wang,
Erik D. Goodman:
Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy.
GECCO 2007: 1880-1887 |
| 42 | EE | Erik D. Goodman:
Introduction to genetic algorithms.
GECCO (Companion) 2007: 3205-3224 |
| 41 | EE | Lihong Xu,
Qingsong Hu,
Erik D. Goodman:
A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem.
IEEE Congress on Evolutionary Computation 2007: 4446-4453 |
| 40 | EE | Jianjun Hu,
Shaobo Li,
Erik D. Goodman:
Evolutionary Robust Design of Analog Filters Using Genetic Programming.
Evolutionary Computation in Dynamic and Uncertain Environments 2007: 479-496 |
| 39 | EE | Zhun Fan,
Jiachuan Wang,
Min Wen,
Erik D. Goodman,
Ronald C. Rosenberg:
An Evolutionary Approach For Robust Layout Synthesis of MEMS.
Evolutionary Computation in Dynamic and Uncertain Environments 2007: 519-542 |
| 2006 |
|---|
| 38 | | Zhun Fan,
Mogens Andreasen,
Jiachuan Wang,
Erik D. Goodman,
Lars Hein:
Towards an Evolvable Engineering Design Framework for Interactive Computer Design Support of Mechatronic Systems.
Integrated Intelligent Systems for Engineering Design 2006: 182-198 |
| 2005 |
|---|
| 37 | EE | Hiram A. Firpi,
Erik D. Goodman,
Javier Echauz:
On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features.
EuroGP 2005: 321-330 |
| 36 | EE | Jianjun Hu,
Xiwei Zhong,
Erik D. Goodman:
Open-ended robust design of analog filters using genetic programming.
GECCO 2005: 1619-1626 |
| 35 | EE | Kisung Seo,
Erik D. Goodman,
Ronald C. Rosenberg:
Design of air pump system using bond graph and genetic programming method.
GECCO 2005: 2215-2216 |
| 34 | EE | Hiram A. Firpi,
Erik D. Goodman,
Javier Echauz:
Epileptic seizure detection by means of genetically programmed artificial features.
GECCO 2005: 461-466 |
| 33 | EE | Jianjun Hu,
Erik D. Goodman,
Kisung Seo,
Zhun Fan,
Rondal Rosenberg:
The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms.
Evolutionary Computation 13(2): 241-277 (2005) |
| 32 | EE | Jiachuan Wang,
Zhun Fan,
Janis P. Terpenny,
Erik D. Goodman:
Knowledge interaction with genetic programming in mechatronic systems design using bond graphs.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(2): 172-182 (2005) |
| 2004 |
|---|
| 31 | EE | Hiram A. Firpi,
Erik D. Goodman:
Swarmed Feature Selection.
AIPR 2004: 112-118 |
| 30 | EE | Hiram A. Firpi,
Erik D. Goodman:
Designing Templates for Cellular Neural Networks Using Particle Swarm Optimization.
AIPR 2004: 119-123 |
| 29 | EE | Jianjun Hu,
Erik D. Goodman:
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model.
GECCO (1) 2004: 1220-1232 |
| 28 | EE | Bulent Buyukbozkirli,
Erik D. Goodman:
A Statistical Model of GA Dynamics for the OneMax Problem.
GECCO (1) 2004: 935-946 |
| 27 | EE | Kisung Seo,
Jianjun Hu,
Zhun Fan,
Erik D. Goodman,
Ronald C. Rosenberg:
Hierarchical Breeding Control for Efficient Topology/Parameter Evolution.
GECCO (2) 2004: 722-723 |
| 26 | EE | Erik D. Goodman:
A Word from the Chair of ISGEC.
Genetic Programming and Evolvable Machines 5(1): 9 (2004) |
| 2003 |
|---|
| 25 | EE | Jianjun Hu,
Kisung Seo,
Zhun Fan,
Ronald C. Rosenberg,
Erik D. Goodman:
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework.
GECCO 2003: 1029-1040 |
| 24 | EE | Kisung Seo,
Zhun Fan,
Jianjun Hu,
Erik D. Goodman,
Ronald C. Rosenberg:
Dense and Switched Modular Primitives for Bond Graph Model Design.
GECCO 2003: 1764-1775 |
| 23 | EE | Zhun Fan,
Kisung Seo,
Jianjun Hu,
Ronald C. Rosenberg,
Erik D. Goodman:
System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs.
GECCO 2003: 2058-2071 |
| 22 | EE | Zhijian Huang,
Min Pei,
Erik D. Goodman,
Yong Huang,
Gaoping Li:
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers.
GECCO 2003: 2121-2133 |
| 2002 |
|---|
| 21 | | Zhun Fan,
Kisung Seo,
Ronald C. Rosenberg,
Jianjun Hu,
Erik D. Goodman:
Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs.
GECCO 2002: 1073-1080 |
| 20 | | Jianjun Hu,
Erik D. Goodman,
Kisung Seo,
Min Pei:
Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms.
GECCO 2002: 772-779 |
| 19 | | Jianjun Hu,
Kisung Seo,
Shaobo Li,
Zhun Fan,
Ronald C. Rosenberg,
Erik D. Goodman:
Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming.
GECCO 2002: 780-787 |
| 18 | EE | Kisung Seo,
Jianjun Hu,
Zhun Fan,
Erik D. Goodman,
Ronald C. Rosenberg:
Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming.
Int. J. Comput. Syst. Signal 3(1): 55-70 (2002) |
| 2001 |
|---|
| 17 | EE | Charles Steinfield,
Marleen Huysman,
Kenneth David,
Chyng-Yang Jang,
Jan Poot,
Mirjam Huis in 't Veld,
Ingrid Mulder,
Erik D. Goodman,
John Lloyd,
Timothy Hinds,
J. H. Erik Andriessen,
Kirsten Jarvis,
Klaas van der Werff,
Angel Cabrera:
New Methods for Studying Global Virtual Teams: Towards a Multi-Faceted Approach.
HICSS 2001 |
| 2000 |
|---|
| 16 | | Michael L. Raymer,
William F. Punch III,
Erik D. Goodman,
Leslie A. Kuhn,
Anil K. Jain:
Dimensionality reduction using genetic algorithms.
IEEE Trans. Evolutionary Computation 4(2): 164-171 (2000) |
| 1999 |
|---|
| 15 | | David Eby,
Ronald C. Averill,
William F. Punch III,
Erik D. Goodman:
Optimal design of flywheels using an injection island genetic algorithm.
AI EDAM 13(5): 327-340 (1999) |
| 1998 |
|---|
| 14 | | Arnold L. Patton,
Terrence Dexter,
Erik D. Goodman,
William F. Punch III:
On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary Computation.
Evolutionary Programming 1998: 671-681 |
| 13 | | Stepan P. Radzevich,
Erik D. Goodman:
Efficiency of Multi-Axis NC Machining of Sculpted Part Surfaces.
SSM 1998: 42-58 |
| 12 | EE | A. A. Ligun,
A. A. Shumeiko,
Stephen P. Radzevich,
Erik D. Goodman:
Asymptotically optimum recovery of smooth contours by Bézier curve.
Computer Aided Geometric Design 15(5): 495-506 (1998) |
| 1997 |
|---|
| 11 | | Shyh-Chang Lin,
Erik D. Goodman,
William F. Punch III:
Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems.
Evolutionary Programming 1997: 383-393 |
| 10 | | Shyh-Chang Lin,
Erik D. Goodman,
William F. Punch III:
A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem.
ICGA 1997: 481-488 |
| 9 | | Michael L. Raymer,
William F. Punch III,
Erik D. Goodman,
Paul C. Sanschagrin,
Leslie A. Kuhn:
Simultanous Feature Extraction and Selection Using a Genetic Algorithm.
ICGA 1997: 561-567 |
| 8 | EE | Gang Wang,
Erik D. Goodman,
William F. Punch III:
Toward the Optimization of a Class of Black Box Optimization Algorithms.
ICTAI 1997: 348-356 |
| 7 | EE | A. A. Ligun,
A. A. Shumeiko,
S. P. Radzevitch,
Erik D. Goodman:
Asymptotically optimal disposition of tangent points for approximation of smooth convex surfaces by polygonal functions.
Computer Aided Geometric Design 14(6): 533-546 (1997) |
| 1995 |
|---|
| 6 | | Arnold L. Patton,
William F. Punch III,
Erik D. Goodman:
A Standard GA Approach to Native Protein Conformation Prediction.
ICGA 1995: 574-581 |
| 5 | EE | William F. Punch III,
Ronald C. Averill,
Erik D. Goodman,
Shyh-Chang Lin,
Ying Ding:
Using Genetic Algorithms to Design Laminated Composite Structures.
IEEE Expert 10(1): 42-49 (1995) |
| 1993 |
|---|
| 4 | | William F. Punch III,
Erik D. Goodman,
Min Pei,
Lai Chia-Shun,
Paul D. Hovland,
Richard J. Enbody:
Further Research on Feature Selection and Classification Using Genetic Algorithms.
ICGA 1993: 557-564 |
| 1990 |
|---|
| 3 | EE | J. H. Oliver,
Erik D. Goodman:
Direct dimensional NC verification.
Computer-Aided Design 22(1): 3-9 (1990) |
| 1988 |
|---|
| 2 | | Adrian V. Sannier II,
Erik D. Goodman:
Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems.
ML 1988: 174-180 |
| 1987 |
|---|
| 1 | | Adrian V. Sannier II,
Erik D. Goodman:
Genetic Learning Procedures in Distributed Environments.
ICGA 1987: 162-169 |
