266 citations · 325 across the 17 of their papers we have counts for
12 papers · 1 filter
Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization
Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner +1
Dominance move (DoM) is a binary quality indicator that can be used in multi-objective and many-objective optimization to compare two solution sets obtained from different algorith…
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods
Yashesh Dhebar, Sparsh Gupta, Kalyanmoy Deb
Classification of datasets into two or more distinct classes is an important machine learning task. Many methods are able to classify binary classification tasks with a very high a…
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems
Yashesh Dhebar, Kalyanmoy Deb
For supervised classification problems involving design, control, other practical purposes, users are not only interested in finding a highly accurate classifier, but they also dem…
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization
Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan +1
In the context of optimization, visualization techniques can be useful for understanding the behaviour of optimization algorithms and can even provide a means to facilitate human i…
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu, Kalyanmoy Deb, Erik Goodman +2
In this paper, we propose an efficient NAS algorithm for generating task-specific models that are competitive under multiple competing objectives. It comprises of two surrogates, o…
Many-Objective Software Remodularization using NSGA-III
Mohamed Wiem Mkaouer, Marouane Kessentini, Adnan Shaout +4
Software systems nowadays are complex and difficult to maintain due to continuous changes and bad design choices. To handle the complexity of systems, software products are, in gen…