Erik D. Goodman

Orcid: 0000-0002-2419-0692

Affiliations:
  • Michigan State University, East Lansing, MI, USA


According to our database1, Erik D. Goodman authored at least 163 papers between 1970 and 2024.

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Bibliography

2024
An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization Problems.
IEEE Trans. Evol. Comput., February, 2024

Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization
Springer, ISBN: 978-981-99-2095-2, 2024

2023
Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering.
Knowl. Based Syst., October, 2023

A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization.
Nat. Comput., June, 2023

A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization.
Expert Syst. Appl., 2023

MOAZ: A Multi-Objective AutoML-Zero Framework.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
A Learning-based <i>Innovized</i> Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization.
ACM Trans. Evol. Learn. Optim., 2022

Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2022

A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance.
IEEE Trans. Cybern., 2022

Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering.
IEEE Trans. Cybern., 2022

Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method.
IEEE Trans. Cybern., 2022

A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms.
Knowl. Based Syst., 2022

An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems.
CoRR, 2022

2021
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput., 2021

A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints.
IEEE Trans. Cybern., 2021

Neural Architecture Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020
Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor.
IEEE Trans. Evol. Comput., 2020

Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance.
Swarm Evol. Comput., 2020

A novel selection mechanism for evolutionary algorithms with metameric variable-length representations.
Soft Comput., 2020

Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy.
Knowl. Based Syst., 2020

Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit.
Evol. Comput., 2020

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization.
CoRR, 2020

Time and Individual Duration in Genetic Programming.
IEEE Access, 2020

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Analysis and multi-objective optimization of a kind of teaching manipulator.
Swarm Evol. Comput., 2019

Push and pull search for solving constrained multi-objective optimization problems.
Swarm Evol. Comput., 2019

An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions.
Soft Comput., 2019

A collaboration-based particle swarm optimizer for global optimization problems.
Int. J. Mach. Learn. Cybern., 2019

A novel two-archive matching-based algorithm for multi- and many-objective optimization.
Inf. Sci., 2019

A survey of evolutionary algorithms using metameric representations.
Genet. Program. Evolvable Mach., 2019

A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments.
Expert Syst. Appl., 2019

A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization.
Expert Syst. Appl., 2019

Hyperplane-Approximation-Based Method for Many-Objective Optimization Problems with Redundant Objectives.
Evol. Comput., 2019

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.
CoRR, 2019

MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems.
Appl. Soft Comput., 2019

Decomposition-based evolutionary dynamic multiobjective optimization using a difference model.
Appl. Soft Comput., 2019

Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

It Is Time for New Perspectives on How to Fight Bloat in GP.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

NSGA-Net: neural architecture search using multi-objective genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

The Path to DevOps.
IEEE Softw., 2018

A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems.
Inf. Sci., 2018

Control allocation-based adaptive control for greenhouse climate.
Int. J. Syst. Sci., 2018

Improving the performance of genetic algorithms for land-use allocation problems.
Int. J. Geogr. Inf. Sci., 2018

Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems.
CoRR, 2018

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.
CoRR, 2018

Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications.
CoRR, 2018

Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator.
CoRR, 2018

Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Improving greenhouse environmental control using crop-model-driven multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A differential prediction model for evolutionary dynamic multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland.
Comput. Environ. Urban Syst., 2017

Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms.
IEEE Trans. Evol. Comput., 2017

An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems.
Soft Comput., 2017

A novel non-dominated sorting algorithm for evolutionary multi-objective optimization.
J. Comput. Sci., 2017

Solving metameric variable-length optimization problems using genetic algorithms.
Genet. Program. Evolvable Mach., 2017

Modeling the Tracking Area Planning Problem Using an Evolutionary Multi-Objective Algorithm.
IEEE Comput. Intell. Mag., 2017

A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Short versus long-term urban planning using multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Solving a supply-chain management problem using a bilevel approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards an epigenetics-inspired control system for power dispatch problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2016

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit.
CoRR, 2016

A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems.
Comput. Intell. Neurosci., 2016

2015
Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments.
Sensors, 2015

Evolutionary design of discrete controllers for hybrid mechatronic systems.
Int. J. Syst. Sci., 2015

A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems.
CoRR, 2015

Optimizing an agent-based traffic evacuation model using genetic algorithms.
Proceedings of the 2015 Winter Simulation Conference, 2015

An opposition-based repair operator for multi-objective evolutionary algorithm in constrained optimization problems.
Proceedings of the 11th International Conference on Natural Computation, 2015

2014
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances.
Neural Comput. Appl., 2014

On-line EM Variants for Multivariate Normal Mixture Model in Background Learning and Moving Foreground Detection.
J. Math. Imaging Vis., 2014

Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

Evolutionary model selection for identification of nonlinear parametric systems.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013
Illumination-Robust Foreground Detection in a Video Surveillance System.
IEEE Trans. Circuits Syst. Video Technol., 2013

AHP (Analytic Hierarchy Process) and Computer Analysis Software Used in Tourism Safety.
J. Softw., 2013

Practical Search Index as a Hardness Measure for Genetic Algorithms.
J. Comput., 2013

Integrating a statistical background- foreground extraction algorithm and SVM classifier for pedestrian detection and tracking.
Integr. Comput. Aided Eng., 2013

Introduction to genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolutionary identification of nonlinear parametric models with a set-theoretic fitness criterion.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System.
IEEE Trans. Evol. Comput., 2012

Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Meaningful representation and recombination of variable length genomes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2010
Genetic Programming-Based Automatic Gait Generation in Joint Space for a Quadruped Robot.
Adv. Robotics, 2010

Online background learning for illumination-robust foreground detection.
Proceedings of the 11th International Conference on Control, 2010

Solving multiobjective flexible job-shop scheduling using an adaptive representation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A control optimization algorithm for greenhouse climate control problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
An improved MOCC with feedback control structure based on preference.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A hybrid GA-based fuzzy classifying approach to urinary analysis modeling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Adaptive representation for flexible job-shop scheduling and rescheduling.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Tree-structure-aware GP operators for automatic gait generation of quadruped robot.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

SRaDE: an adaptive differential evolution based on stochastic ranking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

SRDE: an improved differential evolution based on stochastic ranking.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Non-even spread NSGA-II and its application to conflicting multi-objective compatible control.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Evolved finite state controller for hybrid system.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
Multi-Level Decomposition for Tractability in Structural Design Optimization.
Proceedings of the Evolutionary Computation in Practice, 2008

Structured synthesis of MEMS using evolutionary approaches.
Appl. Soft Comput., 2008

Cooperative body-brain coevolutionary synthesis of mechatronic systems.
Artif. Intell. Eng. Des. Anal. Manuf., 2008

Automated synthesis of mechanical vibration absorbers using genetic programming.
Artif. Intell. Eng. Des. Anal. Manuf., 2008

Exploring Building Blocks through Crossover.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

A practical search index and population size analysis based on the building block hypothesis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Evolutionary Robust Design of Analog Filters Using Genetic Programming.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

An Evolutionary Approach For Robust Layout Synthesis of MEMS.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Epileptic Seizure Detection Using Genetically Programmed Artificial Features.
IEEE Trans. Biomed. Eng., 2007

A Paradigm of Government/Industry/University Cooperation: A PSoC Controller for a NASA Robotic Arm.
Proceedings of the IEEE International Conference on Microelectronic Systems Education, 2007

Learning building block structure from crossover failure.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Two layer iterative multi-objective compatible control algorithm.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Towards an Evolvable Engineering Design Framework for Interactive Computer Design Support of Mechatronic Systems.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006

2005
Knowledge interaction with genetic programming in mechatronic systems design using bond graphs.
IEEE Trans. Syst. Man Cybern. Part C, 2005

The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms.
Evol. Comput., 2005

Design of air pump system using bond graph and genetic programming method.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Open-ended robust design of analog filters using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Epileptic seizure detection by means of genetically programmed artificial features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features.
Proceedings of the Genetic Programming, 8th European Conference, 2005

2004
A Word from the Chair of ISGEC.
Genet. Program. Evolvable Mach., 2004

Hierarchical Breeding Control for Efficient Topology/Parameter Evolution.
Proceedings of the Genetic and Evolutionary Computation, 2004

Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model.
Proceedings of the Genetic and Evolutionary Computation, 2004

A Statistical Model of GA Dynamics for the OneMax Problem.
Proceedings of the Genetic and Evolutionary Computation, 2004

Wireless access point configuration by genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Hierarchical evolutionary synthesis of MEMS.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Topological search in automated mechatronic system synthesis using bond graphs and genetic programming.
Proceedings of the 2004 American Control Conference, 2004

Designing Templates for Cellular Neural Networks Using Particle Swarm Optimization.
Proceedings of the 33rd Applied Image Pattern Recognition Workshop (AIPR 2004), 2004

Swarmed Feature Selection.
Proceedings of the 33rd Applied Image Pattern Recognition Workshop (AIPR 2004), 2004

2003
Dense and Switched Modular Primitives for Bond Graph Model Design.
Proceedings of the Genetic and Evolutionary Computation, 2003

Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers.
Proceedings of the Genetic and Evolutionary Computation, 2003

HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework.
Proceedings of the Genetic and Evolutionary Computation, 2003

System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming.
Int. J. Comput. Syst. Signals, 2002

Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

The hierarchical fair competition (HFC) model for parallel evolutionary algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
New Methods for Studying Global Virtual Teams: Towards a Multi-Faceted Approach.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

2000
Dimensionality reduction using genetic algorithms.
IEEE Trans. Evol. Comput., 2000

1999
Optimal design of flywheels using an injection island genetic algorithm.
Artif. Intell. Eng. Des. Anal. Manuf., 1999

Scheduling variance loss using population level annealing for evolutionary computation.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Asymptotically optimum recovery of smooth contours by Bézier curve.
Comput. Aided Geom. Des., 1998

Efficiency of Multi-Axis NC Machining of Sculpted Part Surfaces.
Proceedings of the Machining Impossible Shapes, 1998

On the Application of Cohort-Driven Operators to Continuous Optimization Problems Using Evolutionary Computation.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997
Asymptotically optimal disposition of tangent points for approximation of smooth convex surfaces by polygonal functions.
Comput. Aided Geom. Des., 1997

Toward the Optimization of a Class of Black Box Optimization Algorithms.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

Simultanous Feature Extraction and Selection Using a Genetic Algorithm.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

1995
Using Genetic Algorithms to Design Laminated Composite Structures.
IEEE Expert, 1995

A Standard GA Approach to Native Protein Conformation Prediction.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994
Coarse-grain parallel genetic algorithms: categorization and new approach.
Proceedings of the Sixth IEEE Symposium on Parallel and Distributed Processing, 1994

1993
Further Research on Feature Selection and Classification Using Genetic Algorithms.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1991
A method for accurate simulation of robotic spray application using empirical parameterization.
Proceedings of the 1991 IEEE International Conference on Robotics and Automation, 1991

1990
Direct dimensional NC verification.
Comput. Aided Des., 1990

1988
Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems.
Proceedings of the Machine Learning, 1988

1987
Genetic Learning Procedures in Distributed Environments.
Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

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


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