R70-18 Real-Time Computation by n-Dimensional Iterative Arrays of Finite-State Machines. - Erik D. Goodman (IEEE Trans. Computers, 1970)

Genetic Learning Procedures in Distributed Environments. - Adrian V. Sannier II; Erik D. Goodman (ICGA, 1987)

Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems. - Adrian V. Sannier II; Erik D. Goodman (ML, 1988)

Direct dimensional NC verification. - James H. Oliver; Erik D. Goodman (Comput. Aided Des., 1990)

A method for accurate simulation of robotic spray application using empirical parameterization. - Erik D. Goodman; Leslie T. W. Hoppensteradt (ICRA, 1991)

Further Research on Feature Selection and Classification Using Genetic Algorithms. - William F. Punch III; Erik D. Goodman; Min Pei; Lai Chia-Shun; Paul D. Hovland; Richard J. Enbody (ICGA, 1993)

Coarse-grain parallel genetic algorithms: categorization and new approach. - Shyh-Chang Lin; William F. Punch III; Erik D. Goodman (SPDP, 1994)

A Standard GA Approach to Native Protein Conformation Prediction. - Arnold L. Patton; William F. Punch III; Erik D. Goodman (ICGA, 1995)

Using Genetic Algorithms to Design Laminated Composite Structures. - William F. Punch III; Ronald C. Averill; Erik D. Goodman; Shyh-Chang Lin; Ying Ding (IEEE Expert, 1995)

Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems. - Shyh-Chang Lin; Erik D. Goodman; William F. Punch III (Evolutionary Programming, 1997)

A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem. - Shyh-Chang Lin; Erik D. Goodman; William F. Punch III (ICGA, 1997)

Simultanous Feature Extraction and Selection Using a Genetic Algorithm. - Michael L. Raymer; William F. Punch III; Erik D. Goodman; Paul C. Sanschagrin; Leslie A. Kuhn (ICGA, 1997)

Toward the Optimization of a Class of Black Box Optimization Algorithms. - Gang Wang; Erik D. Goodman; William F. Punch III (ICTAI, 1997)

Asymptotically optimal disposition of tangent points for approximation of smooth convex surfaces by polygonal functions. - A. A. Ligun; A. A. Shumeiko; S. P. Radzevitch; Erik D. Goodman (Comput. Aided Geom. Des., 1997)

On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary Computation. - Arnold L. Patton; Terrence Dexter; Erik D. Goodman; William F. Punch III (Evolutionary Programming, 1998)

Efficiency of Multi-Axis NC Machining of Sculpted Part Surfaces. - Stepan P. Radzevich; Erik D. Goodman (SSM, 1998)

Asymptotically optimum recovery of smooth contours by Bézier curve. - A. A. Ligun; A. A. Shumeiko; Stephen P. Radzevich; Erik D. Goodman (Comput. Aided Geom. Des., 1998)

Scheduling variance loss using population level annealing for evolutionary computation. - Arnold L. Patton; Erik D. Goodman; William F. Punch III (CEC, 1999)

Optimal design of flywheels using an injection island genetic algorithm. - David Eby; Ronald C. Averill; William F. Punch III; Erik D. Goodman (Artif. Intell. Eng. Des. Anal. Manuf., 1999)

Dimensionality reduction using genetic algorithms. - Michael L. Raymer; William F. Punch III; Erik D. Goodman; Leslie A. Kuhn; Anil K. Jain 001 (IEEE Trans. Evol. Comput., 2000)

New Methods for Studying Global Virtual Teams: Towards a Multi-Faceted Approach. - 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; et al. (HICSS, 2001)

The hierarchical fair competition (HFC) model for parallel evolutionary algorithms. - Jianjun Hu; Erik D. Goodman (IEEE Congress on Evolutionary Computation, 2002)

Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs. - Zhun Fan; Kisung Seo; Ronald C. Rosenberg; Jianjun Hu; Erik D. Goodman (GECCO, 2002)

Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms. - Jianjun Hu; Erik D. Goodman; Kisung Seo; Min Pei (GECCO, 2002)

Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming. - Jianjun Hu; Kisung Seo; Shaobo Li 001; Zhun Fan; Ronald C. Rosenberg; Erik D. Goodman (GECCO, 2002)

Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming. - Kisung Seo; Jianjun Hu; Zhun Fan; Erik D. Goodman; Ronald C. Rosenberg (Int. J. Comput. Syst. Signals, 2002)

System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs. - Zhun Fan; Kisung Seo; Jianjun Hu; Ronald C. Rosenberg; Erik D. Goodman (GECCO, 2003)

HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework. - Jianjun Hu; Kisung Seo; Zhun Fan; Ronald C. Rosenberg; Erik D. Goodman (GECCO, 2003)

Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers. - Zhijian Huang; Min Pei; Erik D. Goodman; Yong Huang; Gaoping Li (GECCO, 2003)

Dense and Switched Modular Primitives for Bond Graph Model Design. - Kisung Seo; Zhun Fan; Jianjun Hu; Erik D. Goodman; Ronald C. Rosenberg (GECCO, 2003)

Swarmed Feature Selection. - Hiram A. Firpi; Erik D. Goodman (AIPR, 2004)

Designing Templates for Cellular Neural Networks Using Particle Swarm Optimization. - Hiram A. Firpi; Erik D. Goodman (AIPR, 2004)

Topological search in automated mechatronic system synthesis using bond graphs and genetic programming. - Jianjun Hu; Erik D. Goodman; Ronald C. Rosenberg (ACC, 2004)

Hierarchical evolutionary synthesis of MEMS. - Zhun Fan; Erik D. Goodman; Jiachuan Wang; Ronald C. Rosenberg; Kisung Seo; Jianjun Hu (IEEE Congress on Evolutionary Computation, 2004)

Wireless access point configuration by genetic programming. - Jianjun Hu; Erik D. Goodman (IEEE Congress on Evolutionary Computation, 2004)

A Statistical Model of GA Dynamics for the OneMax Problem. - Bulent Buyukbozkirli; Erik D. Goodman (GECCO (1), 2004)

Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model. - Jianjun Hu; Erik D. Goodman (GECCO (1), 2004)

Hierarchical Breeding Control for Efficient Topology/Parameter Evolution. - Kisung Seo; Jianjun Hu; Zhun Fan; Erik D. Goodman; Ronald C. Rosenberg (GECCO (2), 2004)

A Word from the Chair of ISGEC. - Erik D. Goodman (Genet. Program. Evolvable Mach., 2004)

On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features. - Hiram A. Firpi; Erik D. Goodman; Javier R. Echauz (EuroGP, 2005)

Epileptic seizure detection by means of genetically programmed artificial features. - Hiram A. Firpi; Erik D. Goodman; Javier R. Echauz (GECCO, 2005)

Open-ended robust design of analog filters using genetic programming. - Jianjun Hu; Xiwei Zhong; Erik D. Goodman (GECCO, 2005)

Design of air pump system using bond graph and genetic programming method. - Kisung Seo; Erik D. Goodman; Ronald C. Rosenberg (GECCO, 2005)

The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms. - Jianjun Hu; Erik D. Goodman; Kisung Seo; Zhun Fan; Rondal Rosenberg (Evol. Comput., 2005)

Knowledge interaction with genetic programming in mechatronic systems design using bond graphs. - Jiachuan Wang; Zhun Fan; Janis P. Terpenny; Erik D. Goodman (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Towards an Evolvable Engineering Design Framework for Interactive Computer Design Support of Mechatronic Systems. - Zhun Fan; Mogens Andreasen; Jiachuan Wang; Erik D. Goodman; Lars Hein (Integrated Intelligent Systems for Engineering Design, 2006)

Two layer iterative multi-objective compatible control algorithm. - Lihong Xu; Qingsong Hu; Erik D. Goodman (CDC, 2007)

A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem. - Lihong Xu; Qingsong Hu; Erik D. Goodman (IEEE Congress on Evolutionary Computation, 2007)

Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy. - Sofiane Achiche; Wei Wang; Zhun Fan; Ali Gürcan Özkil; Torben Sørensen; Jiachuan Wang; Erik D. Goodman (GECCO, 2007)

Learning building block structure from crossover failure. - Zhenhua Li; Erik D. Goodman (GECCO, 2007)

A Paradigm of Government/Industry/University Cooperation: A PSoC Controller for a NASA Robotic Arm. - Daniel Baker; Erik D. Goodman; Patrick Kane; Michael A. Shanblatt (MSE, 2007)

Epileptic Seizure Detection Using Genetically Programmed Artificial Features. - Hiram A. Firpi; Erik D. Goodman; Javier R. Echauz (IEEE Trans. Biomed. Eng., 2007)

An Evolutionary Approach For Robust Layout Synthesis of MEMS. - Zhun Fan; Jiachuan Wang; Min Wen; Erik D. Goodman; Ronald C. Rosenberg (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Evolutionary Robust Design of Analog Filters Using Genetic Programming. - Jianjun Hu; Shaobo Li 001; Erik D. Goodman (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

A practical search index and population size analysis based on the building block hypothesis. - Zhenhua Li; Erik D. Goodman (GECCO, 2008)

Exploring Building Blocks through Crossover. - Zhenhua Li; Erik D. Goodman (ISICA, 2008)

Automated synthesis of mechanical vibration absorbers using genetic programming. - Jianjun Hu; Erik D. Goodman; Shaobo Li 001; Ronald C. Rosenberg (Artif. Intell. Eng. Des. Anal. Manuf., 2008)

Cooperative body-brain coevolutionary synthesis of mechatronic systems. - Jiachuan Wang; Zhun Fan; Janis P. Terpenny; Erik D. Goodman (Artif. Intell. Eng. Des. Anal. Manuf., 2008)

Structured synthesis of MEMS using evolutionary approaches. - Zhun Fan; Jiachuan Wang; Sofiane Achiche; Erik D. Goodman; Ronald C. Rosenberg (Appl. Soft Comput., 2008)

Multi-Level Decomposition for Tractability in Structural Design Optimization. - Erik D. Goodman; Ronald C. Averill; Ranny Sidhu (Evolutionary Computation in Practice, 2008)

Evolved finite state controller for hybrid system. - Jean-François Dupuis; Zhun Fan; Erik D. Goodman (GEC Summit, 2009)

Non-even spread NSGA-II and its application to conflicting multi-objective compatible control. - Qingsong Hu; Lihong Xu; Erik D. Goodman (GEC Summit, 2009)

Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II. - Qingsong Hu; Lihong Xu; Erik D. Goodman (GECCO, 2009)

SRDE: an improved differential evolution based on stochastic ranking. - Jinchao Liu; Zhun Fan; Erik D. Goodman (GEC Summit, 2009)

SRaDE: an adaptive differential evolution based on stochastic ranking. - Jinchao Liu; Zhun Fan; Erik D. Goodman (GECCO, 2009)

Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms. - John C. Oliva; Erik D. Goodman (GECCO, 2009)

Tree-structure-aware GP operators for automatic gait generation of quadruped robot. - Kisung Seo; Soohwan Hyun; Erik D. Goodman (GECCO (Companion), 2009)

Adaptive representation for flexible job-shop scheduling and rescheduling. - Prakarn Unachak; Erik D. Goodman (GEC Summit, 2009)

A hybrid GA-based fuzzy classifying approach to urinary analysis modeling. - Ping Wu; Erik D. Goodman; Tang Jiang; Min Pei (GECCO (Companion), 2009)

An improved MOCC with feedback control structure based on preference. - Lihong Xu; Bingkun Zhu; Erik D. Goodman (GEC Summit, 2009)

A control optimization algorithm for greenhouse climate control problems. - Haigen Hu; Lihong Xu; Erik D. Goodman (GECCO (Companion), 2010)

Solving multiobjective flexible job-shop scheduling using an adaptive representation. - Prakarn Unachak; Erik D. Goodman (GECCO, 2010)

Online background learning for illumination-robust foreground detection. - Dawei Li 001; Lihong Xu; Erik D. Goodman (ICARCV, 2010)

Genetic Programming-Based Automatic Gait Generation in Joint Space for a Quadruped Robot. - Kisung Seo; Soohwan Hyun; Erik D. Goodman (Adv. Robotics, 2010)

Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor. - Oliver Chikumbo; Erik D. Goodman; Kalyanmoy Deb (IEEE Congress on Evolutionary Computation, 2012)

Meaningful representation and recombination of variable length genomes. - Matt Ryerkerk; Ronald C. Averill; Kalyanmoy Deb; Erik D. Goodman (GECCO (Companion), 2012)

Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations. - Dawei Li 001; Lihong Xu; Erik D. Goodman (ICMLA (1), 2012)

Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System. - Jean-François Dupuis; Zhun Fan; Erik D. Goodman (IEEE Trans. Evol. Comput., 2012)

Evolutionary identification of nonlinear parametric models with a set-theoretic fitness criterion. - Jinyao Yan; John R. Deller Jr.; Blair D. Fleet; Erik D. Goodman; Meng Yao (ChinaSIP, 2013)

Introduction to genetic algorithms. - Erik D. Goodman (GECCO (Companion), 2013)

Integrating a statistical background- foreground extraction algorithm and SVM classifier for pedestrian detection and tracking. - Dawei Li 001; Lihong Xu; Erik D. Goodman; Yuan Xu; Yang Wu (Integr. Comput. Aided Eng., 2013)

Practical Search Index as a Hardness Measure for Genetic Algorithms. - Zhenhua Li; Erik D. Goodman (J. Comput., 2013)

AHP (Analytic Hierarchy Process) and Computer Analysis Software Used in Tourism Safety. - Guojing Fan; Erik D. Goodman; Zhijun Liu (J. Softw., 2013)

Illumination-Robust Foreground Detection in a Video Surveillance System. - Dawei Li 001; Lihong Xu; Erik D. Goodman (IEEE Trans. Circuits Syst. Video Technol., 2013)

Evolutionary model selection for identification of nonlinear parametric systems. - Jinyao Yan; John R. Deller Jr.; Meng Yao; Erik D. Goodman (ChinaSIP, 2014)

Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans. - Blair D. Fleet; Jinyao Yan; David B. Knoester; Meng Yao; John R. Deller Jr.; Erik D. Goodman (CLIP@MICCAI, 2014)

On-line EM Variants for Multivariate Normal Mixture Model in Background Learning and Moving Foreground Detection. - Dawei Li 001; Lihong Xu; Erik D. Goodman (J. Math. Imaging Vis., 2014)

NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances. - Haigen Hu; Lihong Xu; Erik D. Goodman; Songwei Zeng (Neural Comput. Appl., 2014)

An opposition-based repair operator for multi-objective evolutionary algorithm in constrained optimization problems. - Zhun Fan; Han Huang 002; Wenji Li; Shuxiang Xie; Xinye Cai; Erik D. Goodman (ICNC, 2015)

Optimizing an agent-based traffic evacuation model using genetic algorithms. - Matthew Durak; Nicholas Durak; Erik D. Goodman; Robert Till (WSC, 2015)

A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems. - Zhun Fan; Wenji Li; Xinye Cai; Huibiao Lin; Shuxiang Xie; Erik D. Goodman (CoRR, 2015)

Evolutionary design of discrete controllers for hybrid mechatronic systems. - Jean-François Dupuis; Zhun Fan; Erik D. Goodman (Int. J. Syst. Sci., 2015)

Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments. - Dawei Li 001; Lihong Xu; Chengxiang Tan; Erik D. Goodman; Daichang Fu; Longjiao Xin (Sensors, 2015)

A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems. - Leilei Cao; Lihong Xu; Erik D. Goodman (Comput. Intell. Neurosci., 2016)

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Kaiwen Hu; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (CoRR, 2016)

Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization. - Chenwen Zhu; Lihong Xu; Erik D. Goodman (IEEE Trans. Evol. Comput., 2016)

Towards an epigenetics-inspired control system for power dispatch problem. - Daniel J. Couvertier; Erik D. Goodman; Kalyanmoy Deb (GECCO (Companion), 2017)

Solving a supply-chain management problem using a bilevel approach. - Zhichao Lu; Kalyanmoy Deb; Erik D. Goodman; John M. Wassick (GECCO, 2017)

Short versus long-term urban planning using multi-objective optimization. - Jonas Schwaab; Kalyanmoy Deb; Erik D. Goodman; Sven Lautenbach; Maarten van Strien; Adrienne Grêt-Regamey (GECCO (Companion), 2017)

A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization. - Leilei Cao; Lihong Xu; Erik D. Goodman; Hui Li 020 (SEAL, 2017)

Modeling the Tracking Area Planning Problem Using an Evolutionary Multi-Objective Algorithm. - Lei Chen 044; Hai-Lin Liu 001; Zhun Fan; Shengli Xie; Erik D. Goodman (IEEE Comput. Intell. Mag., 2017)

Solving metameric variable-length optimization problems using genetic algorithms. - Matthew L. Ryerkerk; Ronald C. Averill; Kalyanmoy Deb; Erik D. Goodman (Genet. Program. Evolvable Mach., 2017)

A novel non-dominated sorting algorithm for evolutionary multi-objective optimization. - Chunteng Bao; Lihong Xu; Erik D. Goodman; Leilei Cao (J. Comput. Sci., 2017)

An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems. - Xinye Cai; Xin Cheng; Zhun Fan; Erik D. Goodman; Lisong Wang (Soft Comput., 2017)

Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms. - Hai-Lin Liu 001; Lei Chen 044; Kalyanmoy Deb; Erik D. Goodman (IEEE Trans. Evol. Comput., 2017)

Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland. - Jonas Schwaab; Kalyanmoy Deb; Erik D. Goodman; Sven Lautenbach; Maarten van Strien; Adrienne Grêt-Regamey (Comput. Environ. Urban Syst., 2017)

A differential prediction model for evolutionary dynamic multiobjective optimization. - Leilei Cao; Lihong Xu; Erik D. Goodman; Shuwei Zhu; Hui Li 020 (GECCO, 2018)

Improving greenhouse environmental control using crop-model-driven multi-objective optimization. - José R. Llera; Erik D. Goodman; Erik S. Runkle; Lihong Xu (GECCO (Companion), 2018)

Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization. - José R. Llera; Kalyanmoy Deb; Erik S. Runkle; Lihong Xu; Erik D. Goodman (SSCI, 2018)

Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator. - Zhun Fan; Yugen You; Haodong Zheng; Guijie Zhu; Wenji Li; Shen Chen; Kalyanmoy Deb; Erik D. Goodman (CoRR, 2018)

Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications. - Zhun Fan; Jiewei Lu; Ce Zheng; Jingan Feng; Longtao Huang; Wenji Li; Erik D. Goodman (CoRR, 2018)

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. - Zhichao Lu; Ian Whalen; Vishnu Boddeti; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf (CoRR, 2018)

Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems. - Zhun Fan; Wenji Li; Zhaojun Wang; Yutong Yuan; Fuzan Sun; Zhi Yang 007; Jie Ruan; Zhaocheng Li; Erik D. Goodman (CoRR, 2018)

Improving the performance of genetic algorithms for land-use allocation problems. - Jonas Schwaab; Kalyanmoy Deb; Erik D. Goodman; Sven Lautenbach; Maarten van Strien; Adrienne Grêt-Regamey (Int. J. Geogr. Inf. Sci., 2018)

Control allocation-based adaptive control for greenhouse climate. - Yuanping Su; Lihong Xu; Erik D. Goodman (Int. J. Syst. Sci., 2018)

A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems. - Leilei Cao; Lihong Xu; Erik D. Goodman (Inf. Sci., 2018)

The Path to DevOps. - Erik D. Goodman (IEEE Softw., 2018)

Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks. - Zhun Fan; Jiewei Lu; Maoguo Gong; Honghui Xie; Erik D. Goodman (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

NSGA-Net: neural architecture search using multi-objective genetic algorithm. - Zhichao Lu; Ian Whalen; Vishnu Boddeti; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf (GECCO, 2019)

It Is Time for New Perspectives on How to Fight Bloat in GP. - Francisco Fernández de Vega; Gustavo Olague; Francisco Chávez de la O; Daniel Lanza; Wolfgang Banzhaf; Erik D. Goodman (GPTP, 2019)

Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman (SSCI, 2019)

Decomposition-based evolutionary dynamic multiobjective optimization using a difference model. - Leilei Cao; Lihong Xu; Erik D. Goodman; Hui Li 020 (Appl. Soft Comput., 2019)

MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems. - Zhun Fan; Yi Fang 007; Wenji Li; Xinye Cai; Caimin Wei; Erik D. Goodman (Appl. Soft Comput., 2019)

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (CoRR, 2019)

Hyperplane-Approximation-Based Method for Many-Objective Optimization Problems with Redundant Objectives. - Yifan Li; Hai-Lin Liu 001; Erik D. Goodman (Evol. Comput., 2019)

A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization. - Chunteng Bao; Lihong Xu; Erik D. Goodman (Expert Syst. Appl., 2019)

A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments. - Leilei Cao; Lihong Xu; Erik D. Goodman (Expert Syst. Appl., 2019)

A survey of evolutionary algorithms using metameric representations. - Matt Ryerkerk; Ronald C. Averill; Kalyanmoy Deb; Erik D. Goodman (Genet. Program. Evolvable Mach., 2019)

A novel two-archive matching-based algorithm for multi- and many-objective optimization. - Chunteng Bao; Lihong Xu; Erik D. Goodman (Inf. Sci., 2019)

A collaboration-based particle swarm optimizer for global optimization problems. - Leilei Cao; Lihong Xu; Erik D. Goodman (Int. J. Mach. Learn. Cybern., 2019)

An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions. - Zhun Fan; Wenji Li; Xinye Cai; Han Huang 002; Yi Fang 007; Yugen You; Jiajie Mo; Caimin Wei; Erik D. Goodman (Soft Comput., 2019)

Push and pull search for solving constrained multi-objective optimization problems. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Caimin Wei; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (Swarm Evol. Comput., 2019)

Analysis and multi-objective optimization of a kind of teaching manipulator. - Zhun Fan; Yugen You; Xinye Cai; Haodong Zheng; Guijie Zhu; Wenji Li; Akhil Garg 002; Kalyanmoy Deb; Erik D. Goodman (Swarm Evol. Comput., 2019)

A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization. - Abhiroop Ghosh; Erik D. Goodman; Kalyanmoy Deb; Ronald C. Averill; Alejandro Diaz (CEC, 2020)

NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. - Zhichao Lu; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (ECCV (1), 2020)

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (IJCAI, 2020)

Time and Individual Duration in Genetic Programming. - Francisco Fernández de Vega; Gustavo Olague; Daniel Lanza; Francisco Chávez de la O; Wolfgang Banzhaf; Erik D. Goodman; Jose Menendez-Clavijo; Axel Martinez (IEEE Access, 2020)

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb; Erik D. Goodman (CoRR, 2020)

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. - Zhun Fan; Wenji Li; Xinye Cai; Hui Li 020; Caimin Wei; Qingfu Zhang 001; Kalyanmoy Deb; Erik D. Goodman (Evol. Comput., 2020)

Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy. - Shuwei Zhu; Lihong Xu; Erik D. Goodman (Knowl. Based Syst., 2020)

A novel selection mechanism for evolutionary algorithms with metameric variable-length representations. - Matt Ryerkerk; Ronald C. Averill; Kalyanmoy Deb; Erik D. Goodman (Soft Comput., 2020)

Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman (Swarm Evol. Comput., 2020)

Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor. - Leilei Cao; Lihong Xu; Erik D. Goodman; Chunteng Bao; Shuwei Zhu (IEEE Trans. Evol. Comput., 2020)

Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. - Kalyanmoy Deb; Sukrit Mittal; Dhish Kumar Saxena; Erik D. Goodman (EMO, 2021)

Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems. - Abhiroop Ghosh; Kalyanmoy Deb; Ronald C. Averill; Erik D. Goodman (EMO, 2021)

The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Kalyanmoy Deb; Zhichao Lu (EMO, 2021)

Tomato Leaf Disease Identification and Detection Based on Deep Convolutional Neural Network. - Yang Wu; Lihong Xu; Erik D. Goodman (Intell. Autom. Soft Comput., 2021)

Neural Architecture Transfer. - Zhichao Lu; Gautam Sreekumar; Erik D. Goodman; Wolfgang Banzhaf; Kalyanmoy Deb; Vishnu Naresh Boddeti (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman (IEEE Trans. Cybern., 2021)

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (IEEE Trans. Evol. Comput., 2021)

An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems. - Abhiroop Ghosh; Kalyanmoy Deb; Erik D. Goodman; Ronald C. Averill (CoRR, 2022)

A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman; Kay Chen Tan (Knowl. Based Syst., 2022)

Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method. - Yuanping Su; Lihong Xu; Erik D. Goodman (IEEE Trans. Cybern., 2022)

Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering. - Shuwei Zhu; Lihong Xu; Erik D. Goodman (IEEE Trans. Cybern., 2022)

A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Zhichao Lu (IEEE Trans. Cybern., 2022)

Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb; Erik D. Goodman (IEEE Trans. Evol. Comput., 2022)

A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb; Erik D. Goodman (ACM Trans. Evol. Learn. Optim., 2022)

IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. - Abhiroop Ghosh; Kalyanmoy Deb; Ronald C. Averill; Erik D. Goodman (EMO, 2023)

MOAZ: A Multi-Objective AutoML-Zero Framework. - Ritam Guha; Wei Ao; Stephen Kelly; Vishnu Boddeti; Erik D. Goodman; Wolfgang Banzhaf; Kalyanmoy Deb (GECCO, 2023)

A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization. - Chunteng Bao; Diju Gao; Wei Gu; Lihong Xu; Erik D. Goodman (Expert Syst. Appl., 2023)

A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Kalyanmoy Deb; Zhichao Lu (Nat. Comput., 2023)

Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering. - Chunteng Bao; Diju Gao; Yi Ding; Lihong Xu; Erik D. Goodman (Knowl. Based Syst., 2023)

Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization - Dhish Kumar Saxena; Sukrit Mittal; Kalyanmoy Deb; Erik D. Goodman (Springer, 2024)

An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization Problems. - Abhiroop Ghosh; Kalyanmoy Deb; Erik D. Goodman; Ronald C. Averill (IEEE Trans. Evol. Comput., 2024)

A Unified Innovized Progress Operator for Performance Enhancement in Evolutionary Multi- and Many-Objective Optimization. - Sukrit Mittal; Dhish Kumar Saxena; Kalyanmoy Deb; Erik D. Goodman (IEEE Trans. Evol. Comput., 2024)