Erik D. Goodman

181 papers A* 2A 21B 9C 7Misc 2Journal 85Unranked 48
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2024 J jnl
An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization Problems.
IEEE Trans. Evol. Comput.
Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill
2024 — book
Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization
Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, Erik D. Goodman
2023 J jnl
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization.
Nat. Comput.
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
2023 J jnl
A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization.
Expert Syst. Appl.
Chunteng Bao, Diju Gao, Wei Gu, Lihong Xu, Erik D. Goodman
2023 C conf
IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework.
EMO
Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman
2023 A conf
MOAZ: A Multi-Objective AutoML-Zero Framework.
GECCO
Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb
2023 J jnl
Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering.
Knowl. Based Syst.
Chunteng Bao, Diju Gao, Yi Ding, Lihong Xu, Erik D. Goodman
2022 J jnl
A Learning-based
ACM Trans. Evol. Learn. Optim.
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2022 J jnl
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance.
IEEE Trans. Cybern.
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Zhichao Lu
2022 J jnl
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms.
Knowl. Based Syst.
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan
2022 J jnl
An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems.
CoRR
Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill
2022 J jnl
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2022 J jnl
Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering.
IEEE Trans. Cybern.
Shuwei Zhu, Lihong Xu, Erik D. Goodman
2022 J jnl
Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method.
IEEE Trans. Cybern.
Yuanping Su, Lihong Xu, Erik D. Goodman
2021 J jnl
A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints.
IEEE Trans. Cybern.
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman
2021 C conf
Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems.
EMO
Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman
2021 C conf
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective.
EMO
Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman
2021 J jnl
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput.
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2021 J jnl
Neural Architecture Transfer.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
2021 C conf
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization.
EMO
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
2021 J jnl
Tomato Leaf Disease Identification and Detection Based on Deep Convolutional Neural Network.
Intell. Autom. Soft Comput.
Yang Wu, Lihong Xu, Erik D. Goodman
2020 B conf
A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization.
CEC
Abhiroop Ghosh, Erik D. Goodman, Kalyanmoy Deb, Ronald C. Averill, Alejandro Diaz
2020 J jnl
A novel selection mechanism for evolutionary algorithms with metameric variable-length representations.
Soft Comput.
Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
2020 J jnl
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit.
Evol. Comput.
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2020 J jnl
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization.
CoRR
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
2020 J jnl
Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor.
IEEE Trans. Evol. Comput.
Leilei Cao, Lihong Xu, Erik D. Goodman, Chunteng Bao, Shuwei Zhu
2020 J jnl
Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy.
Knowl. Based Syst.
Shuwei Zhu, Lihong Xu, Erik D. Goodman
2020 — ed.
Genetic Programming Theory and Practice XVII [GPTP 2019, Michigan State University, East Lansing, Michigan, USA, May 16-19, 2019].
GPTP
Wolfgang Banzhaf, Erik D. Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel
2020 J jnl
Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance.
Swarm Evol. Comput.
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman
2020 J jnl
It is Time for New Perspectives on How to Fight Bloat in GP.
CoRR
Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman
2020 A* conf
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract).
IJCAI
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2020 J jnl
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search.
CoRR
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2020 — conf
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search.
ECCV (1)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2020 J jnl
Neural Architecture Transfer.
CoRR
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
2020 J jnl
Time and Individual Duration in Genetic Programming.
IEEE Access
Francisco Fernández de Vega, Gustavo Olague, Daniel Lanza, Francisco Chávez de la O, Wolfgang Banzhaf, Erik D. Goodman, Jose Menendez-Clavijo, Axel Martinez
2019 J jnl
A collaboration-based particle swarm optimizer for global optimization problems.
Int. J. Mach. Learn. Cybern.
Leilei Cao, Lihong Xu, Erik D. Goodman
2019 J jnl
A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments.
Expert Syst. Appl.
Leilei Cao, Lihong Xu, Erik D. Goodman
2019 J jnl
A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization.
Expert Syst. Appl.
Chunteng Bao, Lihong Xu, Erik D. Goodman
2019 J jnl
A novel two-archive matching-based algorithm for multi- and many-objective optimization.
Inf. Sci.
Chunteng Bao, Lihong Xu, Erik D. Goodman
2019 J jnl
A survey of evolutionary algorithms using metameric representations.
Genet. Program. Evolvable Mach.
Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
2019 J jnl
An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions.
Soft Comput.
Zhun Fan, Wenji Li, Xinye Cai, Han Huang, Yi Fang, Yugen You, Jiajie Mo, Caimin Wei, Erik D. Goodman
2019 J jnl
Analysis and multi-objective optimization of a kind of teaching manipulator.
Swarm Evol. Comput.
Zhun Fan, Yugen You, Xinye Cai, Haodong Zheng, Guijie Zhu, Wenji Li, Akhil Garg, Kalyanmoy Deb, Erik D. Goodman
2019 J jnl
Decomposition-based evolutionary dynamic multiobjective optimization using a difference model.
Appl. Soft Comput.
Leilei Cao, Lihong Xu, Erik D. Goodman, Hui Li
2019 C ed.
Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings
EMO
Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick M. Reed
2019 J jnl
Hyperplane-Approximation-Based Method for Many-Objective Optimization Problems with Redundant Objectives.
Evol. Comput.
Yifan Li, Hai-Lin Liu, Erik D. Goodman
2019 — conf
Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions.
SSCI
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman
2019 — conf
It Is Time for New Perspectives on How to Fight Bloat in GP.
GPTP
Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman
2019 J jnl
MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems.
Appl. Soft Comput.
Zhun Fan, Yi Fang, Wenji Li, Xinye Cai, Caimin Wei, Erik D. Goodman
2019 J jnl
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.
CoRR
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
2019 A conf
NSGA-Net: neural architecture search using multi-objective genetic algorithm.
GECCO
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
2019 J jnl
Push and pull search for solving constrained multi-objective optimization problems.
Swarm Evol. Comput.
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2018 A conf
A differential prediction model for evolutionary dynamic multiobjective optimization.
GECCO
Leilei Cao, Lihong Xu, Erik D. Goodman, Shuwei Zhu, Hui Li
2018 J jnl
A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems.
Inf. Sci.
Leilei Cao, Lihong Xu, Erik D. Goodman
2018 J jnl
Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications.
CoRR
Zhun Fan, Jiewei Lu, Ce Zheng, Jingan Feng, Longtao Huang, Wenji Li, Erik D. Goodman
2018 J jnl
Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhun Fan, Jiewei Lu, Maoguo Gong, Honghui Xie, Erik D. Goodman
2018 J jnl
Control allocation-based adaptive control for greenhouse climate.
Int. J. Syst. Sci.
Yuanping Su, Lihong Xu, Erik D. Goodman
2018 J jnl
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems.
CoRR
Zhun Fan, Wenji Li, Zhaojun Wang, Yutong Yuan, Fuzan Sun, Zhi Yang, Jie Ruan, Zhaocheng Li, Erik D. Goodman
2018 — conf
Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization.
SSCI
José R. Llera, Kalyanmoy Deb, Erik S. Runkle, Lihong Xu, Erik D. Goodman
2018 — conf
Improving greenhouse environmental control using crop-model-driven multi-objective optimization.
GECCO (Companion)
José R. Llera, Erik D. Goodman, Erik S. Runkle, Lihong Xu
2018 J jnl
Improving the performance of genetic algorithms for land-use allocation problems.
Int. J. Geogr. Inf. Sci.
Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey
2018 J jnl
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems.
CoRR
Zhun Fan, Yi Fang, Wenji Li, Xinye Cai, Caimin Wei, Erik D. Goodman
2018 J jnl
Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator.
CoRR
Zhun Fan, Yugen You, Haodong Zheng, Guijie Zhu, Wenji Li, Shen Chen, Kalyanmoy Deb, Erik D. Goodman
2018 J jnl
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.
CoRR
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
2018 J jnl
The Path to DevOps.
IEEE Softw.
Erik D. Goodman
2017 — conf
A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization.
SEAL
Leilei Cao, Lihong Xu, Erik D. Goodman, Hui Li
2017 J jnl
A novel non-dominated sorting algorithm for evolutionary multi-objective optimization.
J. Comput. Sci.
Chunteng Bao, Lihong Xu, Erik D. Goodman, Leilei Cao
2017 J jnl
An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions.
CoRR
Zhun Fan, Wenji Li, Xinye Cai, Han Huang, Yi Fang, Yugen You, Jiajie Mo, Caimin Wei, Erik D. Goodman
2017 J jnl
An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems.
Soft Comput.
Xinye Cai, Xin Cheng, Zhun Fan, Erik D. Goodman, Lisong Wang
2017 J jnl
Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms.
IEEE Trans. Evol. Comput.
Hai-Lin Liu, Lei Chen, Kalyanmoy Deb, Erik D. Goodman
2017 J jnl
Modeling the Tracking Area Planning Problem Using an Evolutionary Multi-Objective Algorithm.
IEEE Comput. Intell. Mag.
Lei Chen, Hai-Lin Liu, Zhun Fan, Shengli Xie, Erik D. Goodman
2017 J jnl
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems.
CoRR
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2017 J jnl
Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland.
Comput. Environ. Urban Syst.
Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey
2017 — conf
Short versus long-term urban planning using multi-objective optimization.
GECCO (Companion)
Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey
2017 A conf
Solving a supply-chain management problem using a bilevel approach.
GECCO
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick
2017 J jnl
Solving metameric variable-length optimization problems using genetic algorithms.
Genet. Program. Evolvable Mach.
Matthew L. Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
2017 — conf
Towards an epigenetics-inspired control system for power dispatch problem.
GECCO (Companion)
Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb
2016 J jnl
A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems.
Comput. Intell. Neurosci.
Leilei Cao, Lihong Xu, Erik D. Goodman
2016 J jnl
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit.
CoRR
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
2016 J jnl
Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization.
IEEE Trans. Evol. Comput.
Chenwen Zhu, Lihong Xu, Erik D. Goodman
2015 J jnl
A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems.
CoRR
Zhun Fan, Wenji Li, Xinye Cai, Huibiao Lin, Shuxiang Xie, Erik D. Goodman
2015 Misc conf
An opposition-based repair operator for multi-objective evolutionary algorithm in constrained optimization problems.
ICNC
Zhun Fan, Han Huang, Wenji Li, Shuxiang Xie, Xinye Cai, Erik D. Goodman
2015 J jnl
Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments.
Sensors
Dawei Li, Lihong Xu, Chengxiang Tan, Erik D. Goodman, Daichang Fu, Longjiao Xin
2015 J jnl
Evolutionary design of discrete controllers for hybrid mechatronic systems.
Int. J. Syst. Sci.
Jean-François Dupuis, Zhun Fan, Erik D. Goodman
2015 Misc conf
Optimizing an agent-based traffic evacuation model using genetic algorithms.
WSC
Matthew Durak, Nicholas Durak, Erik D. Goodman, Robert Till
2014 — conf
Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans.
CLIP@MICCAI
Blair D. Fleet, Jinyao Yan, David B. Knoester, Meng Yao, John R. Deller Jr., Erik D. Goodman
2014 — conf
Evolutionary model selection for identification of nonlinear parametric systems.
ChinaSIP
Jinyao Yan, John R. Deller Jr., Meng Yao, Erik D. Goodman
2014 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2014 J jnl
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances.
Neural Comput. Appl.
Haigen Hu, Lihong Xu, Erik D. Goodman, Songwei Zeng
2014 J jnl
On-line EM Variants for Multivariate Normal Mixture Model in Background Learning and Moving Foreground Detection.
J. Math. Imaging Vis.
Dawei Li, Lihong Xu, Erik D. Goodman
2013 J jnl
AHP (Analytic Hierarchy Process) and Computer Analysis Software Used in Tourism Safety.
J. Softw.
Guojing Fan, Erik D. Goodman, Zhijun Liu
2013 — conf
Evolutionary identification of nonlinear parametric models with a set-theoretic fitness criterion.
ChinaSIP
Jinyao Yan, John R. Deller Jr., Blair D. Fleet, Erik D. Goodman, Meng Yao
2013 J jnl
Illumination-Robust Foreground Detection in a Video Surveillance System.
IEEE Trans. Circuits Syst. Video Technol.
Dawei Li, Lihong Xu, Erik D. Goodman
2013 J jnl
Integrating a statistical background- foreground extraction algorithm and SVM classifier for pedestrian detection and tracking.
Integr. Comput. Aided Eng.
Dawei Li, Lihong Xu, Erik D. Goodman, Yuan Xu, Yang Wu
2013 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2013 J jnl
Practical Search Index as a Hardness Measure for Genetic Algorithms.
J. Comput.
Zhenhua Li, Erik D. Goodman
2012 B conf
Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor.
IEEE Congress on Evolutionary Computation
Oliver Chikumbo, Erik D. Goodman, Kalyanmoy Deb
2012 J jnl
Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System.
IEEE Trans. Evol. Comput.
Jean-François Dupuis, Zhun Fan, Erik D. Goodman
2012 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2012 — conf
Meaningful representation and recombination of variable length genomes.
GECCO (Companion)
Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
2012 — conf
Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations.
ICMLA (1)
Dawei Li, Lihong Xu, Erik D. Goodman
2011 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2010 — conf
A control optimization algorithm for greenhouse climate control problems.
GECCO (Companion)
Haigen Hu, Lihong Xu, Erik D. Goodman
2010 J jnl
Genetic Programming-Based Automatic Gait Generation in Joint Space for a Quadruped Robot.
Adv. Robotics
Kisung Seo, Soohwan Hyun, Erik D. Goodman
2010 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2010 C conf
Online background learning for illumination-robust foreground detection.
ICARCV
Dawei Li, Lihong Xu, Erik D. Goodman
2010 A conf
Solving multiobjective flexible job-shop scheduling using an adaptive representation.
GECCO
Prakarn Unachak, Erik D. Goodman
2009 — conf
A hybrid GA-based fuzzy classifying approach to urinary analysis modeling.
GECCO (Companion)
Ping Wu, Erik D. Goodman, Tang Jiang, Min Pei
2009 — conf
Adaptive representation for flexible job-shop scheduling and rescheduling.
GEC Summit
Prakarn Unachak, Erik D. Goodman
2009 — conf
An improved MOCC with feedback control structure based on preference.
GEC Summit
Lihong Xu, Bingkun Zhu, Erik D. Goodman
2009 A conf
Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II.
GECCO
Qingsong Hu, Lihong Xu, Erik D. Goodman
2009 A conf
Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms.
GECCO
John C. Oliva, Erik D. Goodman
2009 — conf
Evolved finite state controller for hybrid system.
GEC Summit
Jean-François Dupuis, Zhun Fan, Erik D. Goodman
2009 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2009 — conf
Non-even spread NSGA-II and its application to conflicting multi-objective compatible control.
GEC Summit
Qingsong Hu, Lihong Xu, Erik D. Goodman
2009 — ed.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC Summit 2009, Shanghai, China, June 12-14, 2009
GEC Summit
Lihong Xu, Erik D. Goodman, Guoliang Chen, L. Darrell Whitley, Yongsheng Ding
2009 — conf
SRDE: an improved differential evolution based on stochastic ranking.
GEC Summit
Jinchao Liu, Zhun Fan, Erik D. Goodman
2009 A conf
SRaDE: an adaptive differential evolution based on stochastic ranking.
GECCO
Jinchao Liu, Zhun Fan, Erik D. Goodman
2009 — conf
Tree-structure-aware GP operators for automatic gait generation of quadruped robot.
GECCO (Companion)
Kisung Seo, Soohwan Hyun, Erik D. Goodman
2008 A conf
A practical search index and population size analysis based on the building block hypothesis.
GECCO
Zhenhua Li, Erik D. Goodman
2008 J jnl
Automated synthesis of mechanical vibration absorbers using genetic programming.
Artif. Intell. Eng. Des. Anal. Manuf.
Jianjun Hu, Erik D. Goodman, Shaobo Li, Ronald C. Rosenberg
2008 J jnl
Cooperative body-brain coevolutionary synthesis of mechatronic systems.
Artif. Intell. Eng. Des. Anal. Manuf.
Jiachuan Wang, Zhun Fan, Janis P. Terpenny, Erik D. Goodman
2008 — conf
Exploring Building Blocks through Crossover.
ISICA
Zhenhua Li, Erik D. Goodman
2008 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2008 — ch.
Multi-Level Decomposition for Tractability in Structural Design Optimization.
Evolutionary Computation in Practice
Erik D. Goodman, Ronald C. Averill, Ranny Sidhu
2008 J jnl
Structured synthesis of MEMS using evolutionary approaches.
Appl. Soft Comput.
Zhun Fan, Jiachuan Wang, Sofiane Achiche, Erik D. Goodman, Ronald C. Rosenberg
2007 — conf
A Paradigm of Government/Industry/University Cooperation: A PSoC Controller for a NASA Robotic Arm.
MSE
Daniel Baker, Erik D. Goodman, Patrick Kane, Michael A. Shanblatt
2007 B conf
A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem.
IEEE Congress on Evolutionary Computation
Lihong Xu, Qingsong Hu, Erik D. Goodman
2007 — ch.
An Evolutionary Approach For Robust Layout Synthesis of MEMS.
Evolutionary Computation in Dynamic and Uncertain Environments
Zhun Fan, Jiachuan Wang, Min Wen, Erik D. Goodman, Ronald C. Rosenberg
2007 J jnl
Epileptic Seizure Detection Using Genetically Programmed Artificial Features.
IEEE Trans. Biomed. Eng.
Hiram A. Firpi, Erik D. Goodman, Javier R. Echauz
2007 — ch.
Evolutionary Robust Design of Analog Filters Using Genetic Programming.
Evolutionary Computation in Dynamic and Uncertain Environments
Jianjun Hu, Shaobo Li, Erik D. Goodman
2007 A conf
Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy.
GECCO
Sofiane Achiche, Wei Wang, Zhun Fan, Ali Gürcan Özkil, Torben Sørensen, Jiachuan Wang, Erik D. Goodman
2007 — conf
Introduction to genetic algorithms.
GECCO (Companion)
Erik D. Goodman
2007 A conf
Learning building block structure from crossover failure.
GECCO
Zhenhua Li, Erik D. Goodman
2007 — conf
Two layer iterative multi-objective compatible control algorithm.
CDC
Lihong Xu, Qingsong Hu, Erik D. Goodman
2006 — ch.
Towards an Evolvable Engineering Design Framework for Interactive Computer Design Support of Mechatronic Systems.
Integrated Intelligent Systems for Engineering Design
Zhun Fan, Mogens Andreasen, Jiachuan Wang, Erik D. Goodman, Lars Hein
2005 A conf
Design of air pump system using bond graph and genetic programming method.
GECCO
Kisung Seo, Erik D. Goodman, Ronald C. Rosenberg
2005 A conf
Epileptic seizure detection by means of genetically programmed artificial features.
GECCO
Hiram A. Firpi, Erik D. Goodman, Javier R. Echauz
2005 J jnl
Knowledge interaction with genetic programming in mechatronic systems design using bond graphs.
IEEE Trans. Syst. Man Cybern. Part C
Jiachuan Wang, Zhun Fan, Janis P. Terpenny, Erik D. Goodman
2005 B conf
On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features.
EuroGP
Hiram A. Firpi, Erik D. Goodman, Javier R. Echauz
2005 A conf
Open-ended robust design of analog filters using genetic programming.
GECCO
Jianjun Hu, Xiwei Zhong, Erik D. Goodman
2005 J jnl
The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms.
Evol. Comput.
Jianjun Hu, Erik D. Goodman, Kisung Seo, Zhun Fan, Rondal Rosenberg
2004 — conf
A Statistical Model of GA Dynamics for the OneMax Problem.
GECCO (1)
Bulent Buyukbozkirli, Erik D. Goodman
2004 J jnl
A Word from the Chair of ISGEC.
Genet. Program. Evolvable Mach.
Erik D. Goodman
2004 — conf
Designing Templates for Cellular Neural Networks Using Particle Swarm Optimization.
AIPR
Hiram A. Firpi, Erik D. Goodman
2004 — conf
Hierarchical Breeding Control for Efficient Topology/Parameter Evolution.
GECCO (2)
Kisung Seo, Jianjun Hu, Zhun Fan, Erik D. Goodman, Ronald C. Rosenberg
2004 B conf
Hierarchical evolutionary synthesis of MEMS.
IEEE Congress on Evolutionary Computation
Zhun Fan, Erik D. Goodman, Jiachuan Wang, Ronald C. Rosenberg, Kisung Seo, Jianjun Hu
2004 — conf
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model.
GECCO (1)
Jianjun Hu, Erik D. Goodman
2004 — conf
Swarmed Feature Selection.
AIPR
Hiram A. Firpi, Erik D. Goodman
2004 C conf
Topological search in automated mechatronic system synthesis using bond graphs and genetic programming.
ACC
Jianjun Hu, Erik D. Goodman, Ronald C. Rosenberg
2004 B conf
Wireless access point configuration by genetic programming.
IEEE Congress on Evolutionary Computation
Jianjun Hu, Erik D. Goodman
2003 A conf
Dense and Switched Modular Primitives for Bond Graph Model Design.
GECCO
Kisung Seo, Zhun Fan, Jianjun Hu, Erik D. Goodman, Ronald C. Rosenberg
2003 A conf
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers.
GECCO
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huang, Gaoping Li
2003 A conf
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework.
GECCO
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman
2003 A conf
System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs.
GECCO
Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenberg, Erik D. Goodman
2002 A conf
Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms.
GECCO
Jianjun Hu, Erik D. Goodman, Kisung Seo, Min Pei
2002 J jnl
Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming.
Int. J. Comput. Syst. Signals
Kisung Seo, Jianjun Hu, Zhun Fan, Erik D. Goodman, Ronald C. Rosenberg
2002 A conf
Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs.
GECCO
Zhun Fan, Kisung Seo, Ronald C. Rosenberg, Jianjun Hu, Erik D. Goodman
2002 A conf
Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming.
GECCO
Jianjun Hu, Kisung Seo, Shaobo Li, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman
2002 B conf
The hierarchical fair competition (HFC) model for parallel evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Jianjun Hu, Erik D. Goodman
2001 — conf
New Methods for Studying Global Virtual Teams: Towards a Multi-Faceted Approach.
HICSS
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
2000 J jnl
Dimensionality reduction using genetic algorithms.
IEEE Trans. Evol. Comput.
Michael L. Raymer, William F. Punch III, Erik D. Goodman, Leslie A. Kuhn, Anil K. Jain
1999 J jnl
Optimal design of flywheels using an injection island genetic algorithm.
Artif. Intell. Eng. Des. Anal. Manuf.
David Eby, Ronald C. Averill, William F. Punch III, Erik D. Goodman
1999 B conf
Scheduling variance loss using population level annealing for evolutionary computation.
CEC
Arnold L. Patton, Erik D. Goodman, William F. Punch III
1998 J jnl
Asymptotically optimum recovery of smooth contours by Bézier curve.
Comput. Aided Geom. Des.
A. A. Ligun, A. A. Shumeiko, Stephen P. Radzevich, Erik D. Goodman
1998 — conf
Efficiency of Multi-Axis NC Machining of Sculpted Part Surfaces.
SSM
Stepan P. Radzevich, Erik D. Goodman
1998 — conf
On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary Computation.
Evolutionary Programming
Arnold L. Patton, Terrence Dexter, Erik D. Goodman, William F. Punch III
1997 — conf
A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem.
ICGA
Shyh-Chang Lin, Erik D. Goodman, William F. Punch III
1997 J jnl
Asymptotically optimal disposition of tangent points for approximation of smooth convex surfaces by polygonal functions.
Comput. Aided Geom. Des.
A. A. Ligun, A. A. Shumeiko, S. P. Radzevitch, Erik D. Goodman
1997 — conf
Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems.
Evolutionary Programming
Shyh-Chang Lin, Erik D. Goodman, William F. Punch III
1997 — conf
Simultanous Feature Extraction and Selection Using a Genetic Algorithm.
ICGA
Michael L. Raymer, William F. Punch III, Erik D. Goodman, Paul C. Sanschagrin, Leslie A. Kuhn
1997 B conf
Toward the Optimization of a Class of Black Box Optimization Algorithms.
ICTAI
Gang Wang, Erik D. Goodman, William F. Punch III
1995 — conf
A Standard GA Approach to Native Protein Conformation Prediction.
ICGA
Arnold L. Patton, William F. Punch III, Erik D. Goodman
1995 J jnl
Using Genetic Algorithms to Design Laminated Composite Structures.
IEEE Expert
William F. Punch III, Ronald C. Averill, Erik D. Goodman, Shyh-Chang Lin, Ying Ding
1994 — conf
Coarse-grain parallel genetic algorithms: categorization and new approach.
SPDP
Shyh-Chang Lin, William F. Punch III, Erik D. Goodman
1993 — conf
Further Research on Feature Selection and Classification Using Genetic Algorithms.
ICGA
William F. Punch III, Erik D. Goodman, Min Pei, Lai Chia-Shun, Paul D. Hovland, Richard J. Enbody
1991 A* conf
A method for accurate simulation of robotic spray application using empirical parameterization.
ICRA
Erik D. Goodman, Leslie T. W. Hoppensteradt
1990 J jnl
Direct dimensional NC verification.
Comput. Aided Des.
James H. Oliver, Erik D. Goodman
1988 — conf
Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems.
ML
Adrian V. Sannier II, Erik D. Goodman
1987 — conf
Genetic Learning Procedures in Distributed Environments.
ICGA
Adrian V. Sannier II, Erik D. Goodman
1970 J jnl
R70-18 Real-Time Computation by n-Dimensional Iterative Arrays of Finite-State Machines.
IEEE Trans. Computers
Erik D. Goodman