266 citations · 325 across the 17 of their papers we have counts for
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A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models
Devesh Shah, Anirudh Suresh, Alemayehu Admasu +2
The evaluation of synthetic micro-structure images is an emerging problem as machine learning and materials science research have evolved together. Typical state of the art methods…
An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems
Abhiroop Ghosh, Kalyanmoy Deb, Erik Goodman +1
Experienced users often have useful knowledge and intuition in solving real-world optimization problems. User knowledge can be formulated as inter-variable relationships to assist…
Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization
Amir H Gandomi, Kalyanmoy Deb, Ronald C Averill +2
To solve complex real-world problems, heuristics and concept-based approaches can be used in order to incorporate information into the problem. In this study, a concept-based appro…
pysamoo: Surrogate-Assisted Multi-Objective Optimization in Python
Julian Blank, Kalyanmoy Deb
Significant effort has been made to solve computationally expensive optimization problems in the past two decades, and various optimization methods incorporating surrogates into op…
GPSAF: A Generalized Probabilistic Surrogate-Assisted Framework for Constrained Single- and Multi-objective Optimization
Julian Blank, Kalyanmoy Deb
Significant effort has been made to solve computationally expensive optimization problems in the past two decades, and various optimization methods incorporating surrogates into op…