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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

H. Singh

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Preprint Sep 2026

A Confidence-Driven Evolutionary Algorithm for Noisy Optimization with Joint Chance Constraints

Many real-world optimization problems involve noisy objective evaluations and probabilistic constraints, particularly in the form of joint chance constraints, which are computationally expensive to evaluate. In this work, we propose CR-EA-C, a confidence-driven evolutionary algorithm for solving noisy black-box optimiz...

Enrico Halim, H. Singh, Tapabrata Ray · 0 citations
Book Open access Jul 2026

Harnessing Symbolic Regression and Nonlinear Programming for Computationally Expensive Multi-Objective Optimization

A surrogate-assisted multi-objective optimization approach that leverages symbolic regression (SR) to construct interpretable analytical approximations of expensive black-box functions and uses iterative construction of surrogates and Tchebycheff scalarization along a set of parallel reference vectors to search for wel...

Kannan Sekar, H. Singh, Tapabrata Ray · 0 citations
Jul 2026

Pareto Set Prediction Assisted Bilevel Bi-objective Optimization

This work proposes to reduce this expense by predicting the lower level Pareto set for a candidate upper level solution directly, in lieu of performing optimization from scratch, which is competitive across a range of problems, including both deceptive and non-deceptive problems.

Bing-chuan Wang, H. Singh, Tapabrata Ray · 0 citations

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