1 citations · 1 across the 7 of their papers we have counts for
7 papers
A Confidence-Driven Evolutionary Algorithm for Noisy Optimization with Joint Chance Constraints
Enrico Halim, Hemant Singh, Tapabrata Ray
Many real-world optimization problems involve noisy objective evaluations and probabilistic constraints, particularly in the form of joint chance constraints, which are computation…
Confidence-based Ranking with Adaptive Sampling for Noisy Black-Box Optimisation
Enrico Halim, Hemant Kumar Singh, Tapabrata Ray
Real-world optimization problems often involve black-box functions and uncertainties in their evaluation, widely referred to as noisy optimization problems (NOPs). Evolutionary alg…
Pareto Set Prediction Assisted Bilevel Multi-objective Optimization
Bing Wang, Hemant K. Singh, Tapabrata Ray
Bilevel optimization problems comprise an upper level optimization task that contains a lower level optimization task as a constraint. While there is a significant and growing lite…
Decomposition of Difficulties in Complex Optimization Problems Using a Bilevel Approach
Ankur Sinha, Dhaval Pujara, Hemant Kumar Singh
Practical optimization problems may contain different kinds of difficulties that are often not tractable if one relies on a particular optimization method. Different optimization a…
Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments
Jing Liu, Hemant Singh, Saber Elsayed +2
Robotic shepherding is a bio-inspired approach to autonomously guiding a swarm of agents towards a desired location. The research area has earned increasing research interest recen…
A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization
Tapabrata Ray, Mohammad Mohiuddin Mamun, Hemant Kumar Singh
In solving multi-modal, multi-objective optimization problems (MMOPs), the objective is not only to find a good representation of the Pareto-optimal front (PF) in the objective spa…