The benefits and limitations of voting mechanisms in evolutionary optimisation. - Jonathan E. Rowe; Aishwaryaprajna (FOGA, 2019)

Noisy combinatorial optimisation by evolutionary algorithms. - Aishwaryaprajna; Jonathan E. Rowe (GECCO (Companion), 2019)

Evolutionary Algorithms for Solving Unconstrained, Constrained and Multi-objective Noisy Combinatorial Optimisation Problems. - Aishwaryaprajna; Jonathan E. Rowe (CoRR, 2021)

Noisy combinatorial optimisation with evolutionary algorithms. - Aishwaryaprajna (2022)

The Sustainable Foraging Problem. - Aishwaryaprajna; Peter R. Lewis 001 (ACSOS-C, 2023)

Evolutionary and Estimation of Distribution Algorithms for Unconstrained, Constrained, and Multiobjective Noisy Combinatorial Optimisation Problems. - Aishwaryaprajna; Jonathan E. Rowe (Evol. Comput., 2023)

UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation. - Aishwaryaprajna; Thia Kirubarajan; Ratnasingham Tharmarasa; Jonathan E. Rowe (Int. J. Bio Inspired Comput., 2023)

The Voting algorithm is robust to various noise models. - Aishwaryaprajna; Jonathan E. Rowe (Theor. Comput. Sci., 2023)

Evolutionary ensembles based on prioritized aggregation operator. - Chandrima Debnath; Aishwaryaprajna; Swati Rani Hait; Debashree Guha; Debjani Chakraborty (Soft Comput., 2023)

Online Learning of Temporal Dependencies for the Sustainable Foraging Problem. - John Payne 004; Aishwaryaprajna; Peter R. Lewis 001 (ACSOS-C, 2024)

The Idea of Optimization for Self-Improving Systems. - Aishwaryaprajna; Kirstie L. Bellman; Christopher Landauer (ACSOS-C, 2024)

Towards Self-Organisation in Multi-Task Scheduling for Multi-Satellite Missions. - Abhijit Chatterjee; Aishwaryaprajna (ACSOS-C, 2024)

Evolutionary Anytime Algorithms. - Aishwaryaprajna; Jonathan E. Rowe (EvoCOP@EvoStar, 2025)