Yashesh D. Dhebar

According to our database, Yashesh D. Dhebar authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toward Interpretable-AI Policies Using Evolutionary Nonlinear Decision Trees for Discrete-Action Systems.

Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev

IEEE Trans. Cybern., January, 2024

2021

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification.

Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti

IEEE Trans. Evol. Comput., 2021

Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization.

Julian Blank, Kalyanmoy Deb, Yashesh D. Dhebar, Sunith Bandaru, Haitham Seada

IEEE Trans. Evol. Comput., 2021

Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems.

Yashesh D. Dhebar, Kalyanmoy Deb

IEEE Trans. Cybern., 2021

Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem.

Abhiroop Ghosh, Yashesh D. Dhebar, Ritam Guha, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, H. Eric Tseng, Dimitar P. Filev

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems.

Yashesh D. Dhebar, Kalyanmoy Deb, Subramanya Nageshrao, Ling Zhu, Dimitar P. Filev

CoRR, 2020

Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods.

Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract).

Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.

Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti

CoRR, 2019

NSGA-Net: neural architecture search using multi-objective genetic algorithm.

Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

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

Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf

CoRR, 2018

Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms.

Yashesh D. Dhebar, Kalyanmoy Deb

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

A computationally fast multimodal optimization with push enabled genetic algorithm.

Yashesh D. Dhebar, Kalyanmoy Deb

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Effect of a Push Operator in Genetic Algorithms for Multimodal Optimization.

Yashesh D. Dhebar, Kalyanmoy Deb

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

2014

Non-uniform mapping in real-coded genetic algorithms.

Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2012

Non-Uniform Mapping in Binary-Coded Genetic Algorithms.

Kalyanmoy Deb, Yashesh D. Dhebar, N. V. R. Pavan

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012