Erik D. Goodman

ORCID

Publication Activity (10 Years)

Years Active: 1970-2024
Publications (10 Years): 80

Top Venues

CoRR

IEEE Trans. Evol. Comput.

GECCO

EMO

Publications

Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill
An Interactive Knowledge-Based Multiobjective Evolutionary Algorithm Framework for Practical Optimization Problems. IEEE Trans. Evol. Comput. 28 (1) (2024)
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization. Nat. Comput. 22 (2) (2023)
Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb
MOAZ: A Multi-Objective AutoML-Zero Framework. GECCO (2023)
Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman
IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. EMO (2023)
Chunteng Bao, Diju Gao, Yi Ding, Lihong Xu, Erik D. Goodman
Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering. Knowl. Based Syst. 278 (2023)
Chunteng Bao, Diju Gao, Wei Gu, Lihong Xu, Erik D. Goodman
A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization. Expert Syst. Appl. 213 (Part) (2023)
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman, Kay Chen Tan
A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. Knowl. Based Syst. 239 (2022)
Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill
An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems. CoRR (2022)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Yuanping Su, Lihong Xu, Erik D. Goodman
Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method. IEEE Trans. Cybern. 52 (6) (2022)
Shuwei Zhu, Lihong Xu, Erik D. Goodman
Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering. IEEE Trans. Cybern. 52 (9) (2022)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 2 (1) (2022)
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Zhichao Lu
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance. IEEE Trans. Cybern. 52 (8) (2022)
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman
A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints. IEEE Trans. Cybern. 51 (11) (2021)
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. EMO (2021)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25 (2) (2021)
Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman
Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems. EMO (2021)
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
Neural Architecture Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. EMO (2021)
Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman
It is Time for New Perspectives on How to Fight Bloat in GP. CoRR (2020)
Shuwei Zhu, Lihong Xu, Erik D. Goodman
Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy. Knowl. Based Syst. 188 (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) (2020)
Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
A novel selection mechanism for evolutionary algorithms with metameric variable-length representations. Soft Comput. 24 (21) (2020)
Leilei Cao, Lihong Xu, Erik D. Goodman, Chunteng Bao, Shuwei Zhu
Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor. IEEE Trans. Evol. Comput. 24 (2) (2020)
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
Neural Architecture Transfer. CoRR (2020)
Francisco Fernández de Vega, Gustavo Olague, Daniel Lanza, Francisco Chávez de la O, Wolfgang Banzhaf, Erik D. Goodman, Jose Menendez-Clavijo, Axel Martinez
Time and Individual Duration in Genetic Programming. IEEE Access 8 (2020)
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. CoRR (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR (2020)
Abhiroop Ghosh, Erik D. Goodman, Kalyanmoy Deb, Ronald C. Averill, Alejandro Diaz
A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization. CEC (2020)
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. Evol. Comput. 28 (3) (2020)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI (2020)
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman
Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance. Swarm Evol. Comput. 55 (2020)
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
Push and pull search for solving constrained multi-objective optimization problems. Swarm Evol. Comput. 44 (2019)
Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman
It Is Time for New Perspectives on How to Fight Bloat in GP. GPTP (2019)
Chunteng Bao, Lihong Xu, Erik D. Goodman
A novel two-archive matching-based algorithm for multi- and many-objective optimization. Inf. Sci. 497 (2019)
Zhun Fan, Yi Fang, Wenji Li, Xinye Cai, Caimin Wei, Erik D. Goodman
MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems. Appl. Soft Comput. 74 (2019)
Leilei Cao, Lihong Xu, Erik D. Goodman
A collaboration-based particle swarm optimizer for global optimization problems. Int. J. Mach. Learn. Cybern. 10 (6) (2019)
Chunteng Bao, Lihong Xu, Erik D. Goodman
A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization. Expert Syst. Appl. 134 (2019)
Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. CoRR (2019)
Leilei Cao, Lihong Xu, Erik D. Goodman
A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments. Expert Syst. Appl. 120 (2019)
Zhun Fan, Wenji Li, Xinye Cai, Han Huang, Yi Fang, Yugen You, Jiajie Mo, Caimin Wei, Erik D. Goodman
An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions. Soft Comput. 23 (23) (2019)
Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
A survey of evolutionary algorithms using metameric representations. Genet. Program. Evolvable Mach. 20 (4) (2019)
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
NSGA-Net: neural architecture search using multi-objective genetic algorithm. GECCO (2019)
Chaoda Peng, Hai-Lin Liu, Erik D. Goodman
Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions. SSCI (2019)
Leilei Cao, Lihong Xu, Erik D. Goodman, Hui Li
Decomposition-based evolutionary dynamic multiobjective optimization using a difference model. Appl. Soft Comput. 76 (2019)
Zhun Fan, Yugen You, Xinye Cai, Haodong Zheng, Guijie Zhu, Wenji Li, Akhil Garg, Kalyanmoy Deb, Erik D. Goodman
Analysis and multi-objective optimization of a kind of teaching manipulator. Swarm Evol. Comput. 50 (2019)
Yifan Li, Hai-Lin Liu, Erik D. Goodman
Hyperplane-Approximation-Based Method for Many-Objective Optimization Problems with Redundant Objectives. Evol. Comput. 27 (2) (2019)
Zhun Fan, Jiewei Lu, Ce Zheng, Jingan Feng, Longtao Huang, Wenji Li, Erik D. Goodman
Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications. CoRR (2018)
Zhun Fan, Yugen You, Haodong Zheng, Guijie Zhu, Wenji Li, Shen Chen, Kalyanmoy Deb, Erik D. Goodman
Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator. CoRR (2018)
Zhun Fan, Jiewei Lu, Maoguo Gong, Honghui Xie, Erik D. Goodman
Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (3) (2018)
Leilei Cao, Lihong Xu, Erik D. Goodman, Shuwei Zhu, Hui Li
A differential prediction model for evolutionary dynamic multiobjective optimization. GECCO (2018)
Yuanping Su, Lihong Xu, Erik D. Goodman
Control allocation-based adaptive control for greenhouse climate. Int. J. Syst. Sci. 49 (6) (2018)
Zhun Fan, Wenji Li, Zhaojun Wang, Yutong Yuan, Fuzan Sun, Zhi Yang, Jie Ruan, Zhaocheng Li, Erik D. Goodman
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems. CoRR (2018)
Zhun Fan, Yi Fang, Wenji Li, Xinye Cai, Caimin Wei, Erik D. Goodman
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems. CoRR (2018)
José R. Llera, Kalyanmoy Deb, Erik S. Runkle, Lihong Xu, Erik D. Goodman
Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization. SSCI (2018)
Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. CoRR (2018)
Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey
Improving the performance of genetic algorithms for land-use allocation problems. Int. J. Geogr. Inf. Sci. 32 (5) (2018)
Leilei Cao, Lihong Xu, Erik D. Goodman
A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems. Inf. Sci. 453 (2018)
José R. Llera, Erik D. Goodman, Erik S. Runkle, Lihong Xu
Improving greenhouse environmental control using crop-model-driven multi-objective optimization. GECCO (Companion) (2018)
Erik D. Goodman
The Path to DevOps. IEEE Softw. 35 (5) (2018)
Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey
Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland. Comput. Environ. Urban Syst. 65 (2017)
Xinye Cai, Xin Cheng, Zhun Fan, Erik D. Goodman, Lisong Wang
An adaptive memetic framework for multi-objective combinatorial optimization problems: studies on software next release and travelling salesman problems. Soft Comput. 21 (9) (2017)
Chunteng Bao, Lihong Xu, Erik D. Goodman, Leilei Cao
A novel non-dominated sorting algorithm for evolutionary multi-objective optimization. J. Comput. Sci. 23 (2017)
Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey
Short versus long-term urban planning using multi-objective optimization. GECCO (Companion) (2017)
Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb
Towards an epigenetics-inspired control system for power dispatch problem. GECCO (Companion) (2017)
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems. CoRR (2017)
Zhun Fan, Wenji Li, Xinye Cai, Han Huang, Yi Fang, Yugen You, Jiajie Mo, Caimin Wei, Erik D. Goodman
An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions. CoRR (2017)
Hai-Lin Liu, Lei Chen, Kalyanmoy Deb, Erik D. Goodman
Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms. IEEE Trans. Evol. Comput. 21 (3) (2017)
Matthew L. Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
Solving metameric variable-length optimization problems using genetic algorithms. Genet. Program. Evolvable Mach. 18 (2) (2017)
Leilei Cao, Lihong Xu, Erik D. Goodman, Hui Li
A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization. SEAL (2017)
Lei Chen, Hai-Lin Liu, Zhun Fan, Shengli Xie, Erik D. Goodman
Modeling the Tracking Area Planning Problem Using an Evolutionary Multi-Objective Algorithm. IEEE Comput. Intell. Mag. 12 (1) (2017)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick
Solving a supply-chain management problem using a bilevel approach. GECCO (2017)
Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. CoRR (2016)
Chenwen Zhu, Lihong Xu, Erik D. Goodman
Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization. IEEE Trans. Evol. Comput. 20 (2) (2016)
Leilei Cao, Lihong Xu, Erik D. Goodman
A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems. Comput. Intell. Neurosci. 2016 (2016)
Matthew Durak, Nicholas Durak, Erik D. Goodman, Robert Till
Optimizing an agent-based traffic evacuation model using genetic algorithms. WSC (2015)
Zhun Fan, Han Huang, Wenji Li, Shuxiang Xie, Xinye Cai, Erik D. Goodman
An opposition-based repair operator for multi-objective evolutionary algorithm in constrained optimization problems. ICNC (2015)
Dawei Li, Lihong Xu, Chengxiang Tan, Erik D. Goodman, Daichang Fu, Longjiao Xin
Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments. Sensors 15 (2) (2015)
Zhun Fan, Wenji Li, Xinye Cai, Huibiao Lin, Shuxiang Xie, Erik D. Goodman
A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems. CoRR (2015)
Jean-François Dupuis, Zhun Fan, Erik D. Goodman
Evolutionary design of discrete controllers for hybrid mechatronic systems. Int. J. Syst. Sci. 46 (2) (2015)
Jinyao Yan, John R. Deller Jr., Meng Yao, Erik D. Goodman
Evolutionary model selection for identification of nonlinear parametric systems. ChinaSIP (2014)
Erik D. Goodman
Introduction to genetic algorithms. GECCO (Companion) (2014)
Haigen Hu, Lihong Xu, Erik D. Goodman, Songwei Zeng
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances. Neural Comput. Appl. 24 (3-4) (2014)
Blair D. Fleet, Jinyao Yan, David B. Knoester, Meng Yao, John R. Deller Jr., Erik D. Goodman
Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans. CLIP@MICCAI (2014)
Dawei Li, Lihong Xu, Erik D. Goodman
On-line EM Variants for Multivariate Normal Mixture Model in Background Learning and Moving Foreground Detection. J. Math. Imaging Vis. 48 (1) (2014)
Dawei Li, Lihong Xu, Erik D. Goodman, Yuan Xu, Yang Wu
Integrating a statistical background- foreground extraction algorithm and SVM classifier for pedestrian detection and tracking. Integr. Comput. Aided Eng. 20 (3) (2013)
Dawei Li, Lihong Xu, Erik D. Goodman
Illumination-Robust Foreground Detection in a Video Surveillance System. IEEE Trans. Circuits Syst. Video Technol. 23 (10) (2013)
Jinyao Yan, John R. Deller Jr., Blair D. Fleet, Erik D. Goodman, Meng Yao
Evolutionary identification of nonlinear parametric models with a set-theoretic fitness criterion. ChinaSIP (2013)
Erik D. Goodman
Introduction to genetic algorithms. GECCO (Companion) (2013)
Zhenhua Li, Erik D. Goodman
Practical Search Index as a Hardness Measure for Genetic Algorithms. J. Comput. 8 (8) (2013)
Guojing Fan, Erik D. Goodman, Zhijun Liu
AHP (Analytic Hierarchy Process) and Computer Analysis Software Used in Tourism Safety. J. Softw. 8 (12) (2013)
Dawei Li, Lihong Xu, Erik D. Goodman
Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations. ICMLA (1) (2012)
Erik D. Goodman
Introduction to genetic algorithms. GECCO (Companion) (2012)
Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman
Meaningful representation and recombination of variable length genomes. GECCO (Companion) (2012)
Jean-François Dupuis, Zhun Fan, Erik D. Goodman
Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System. IEEE Trans. Evol. Comput. 16 (3) (2012)
Oliver Chikumbo, Erik D. Goodman, Kalyanmoy Deb
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 (2012)
Erik D. Goodman
Introduction to genetic algorithms. GECCO (Companion) (2011)
Dawei Li, Lihong Xu, Erik D. Goodman
Online background learning for illumination-robust foreground detection. ICARCV (2010)
Erik D. Goodman
Introduction to genetic algorithms. GECCO (Companion) (2010)
Prakarn Unachak, Erik D. Goodman
Solving multiobjective flexible job-shop scheduling using an adaptive representation. GECCO (2010)

Erik D. Goodman.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Erik D. Goodman