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Optimum Multiple Sampling Plan Based on the Process Capability Index Under Type-II Hybrid Censoring
Rajat Das, Tanmay Kayal, Yogesh Mani Tripathi +1
This paper proposes a stage independent multiple sampling plan (SIMSP) to improve inspection efficiency by reducing the number of samples required at each sampling stage. Unlike co…
Optimal Design for Generalized Progressive Hybrid Censored Data via Constrained, Unconstrained, Compound, and Minimax Optimization
Rathin Das, Tanmay Sen, Deepak Prajapati
This paper studies the optimal design of Type-I generalized progressive hybrid censoring schemes for life-testing experiments. The design problem involves simultaneously determinin…
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization
Sounaq Das, Tanmay Sen, Raghu Nandan Sengupta +1
Portfolio optimization under uncertainty is inherently a multi-objective decision problem involving complex interactions among return, risk, market dynamics, and practical investme…
Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
Raju Chowdhury, Tanmay Sen, Biswabrata Pradhan
Constrained optimization in high-dimensional black-box settings is difficult due to expensive evaluations, the lack of gradient information, and complex feasibility regions. In thi…