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ORCIDErik D. Goodman
- > Home > Persons > Erik D. Goodman
Publications
- 2024
[b1]Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, Erik D. Goodman:
Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization. Springer 2024, ISBN 978-981-99-2095-2, pp. 1-239- [j68]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): 223-237 (2024) - 2023
- [j65]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): 287-313 (2023) - [c88]Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman:
IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. EMO 2023: 606-619 - [c87]Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb:
MOAZ: A Multi-Objective AutoML-Zero Framework. GECCO 2023: 485-492 - 2022
- [j60]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): 961-975 (2022) - [j59]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 2(1): 1:1-1:29 (2022) - [i15]Abhiroop Ghosh, Kalyanmoy Deb, Erik D. Goodman, Ronald C. Averill:
An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems. CoRR abs/2209.08604 (2022) - 2021
- [j58]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): 2971-2989 (2021) - [j56]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): 277-291 (2021) - [c86]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: 89-101 - [c85]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: 102-114 - [c84]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: 349-361 - 2020
- [j54]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): 339-378 (2020) - [j52]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): 16439-16452 (2020) - [c83]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: 1-8 - [c82]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) 2020: 35-51 - [c81]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: 4750-4754 - [i13]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. CoRR abs/2005.05859 (2020) - [i12]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR abs/2007.10396 (2020) - [i11]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. CoRR abs/2011.10760 (2020) - 2019
- [j44]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
A survey of evolutionary algorithms using metameric representations. Genet. Program. Evolvable Mach. 20(4): 441-478 (2019) - [j40]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: 665-679 (2019) - [j39]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) - [c80]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: 419-427 - [e2]Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick M. Reed:
Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11411, Springer 2019, ISBN 978-3-030-12597-4 [contents] - [i10]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 abs/1912.01369 (2019) - 2018
- [j38]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): 907-930 (2018) - [c75]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: 1929-1936 - [i9]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 abs/1801.10599 (2018) - [i6]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 abs/1810.03522 (2018) - 2017
- [j32]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): 247-277 (2017) - [j29]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): 408-425 (2017) - [j28]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: 162-177 (2017) - [c74]Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb:
Towards an epigenetics-inspired control system for power dispatch problem. GECCO (Companion) 2017: 147-148 - [c73]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: 305-306 - [c72]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick:
Solving a supply-chain management problem using a bilevel approach. GECCO 2017: 1185-1192 - [i3]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 abs/1709.05915 (2017) - 2016
- [i2]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 abs/1612.07603 (2016) - 2012
- [c63]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: 1-9 - [c61]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
Meaningful representation and recombination of variable length genomes. GECCO (Companion) 2012: 1471-1472
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