Kokila Perera

Research Interests

Analysis of Algorithms and Complexity Bioinformatics Optimisation

Mrs Kokila Perera

Higher Degree by Research Candidate

School of Computer Science and Information Technology

College of Engineering and Information Technology

Date Institution name Country Title
University of Ruhuna Sri Lanka Bachelor of Science in Computer Science

Year Citation
2023 Perera, K., Neumann, A., & Neumann, F. (2023). Evolutionary Multi-Objective Algorithms for the Knapsack Problems with Stochastic Profits. CoRR, abs/2303.01695.
DOI
2019 Perera, G. K. K., & Wannige, C. T. (2019). A hybrid algorithm for identifying partially conserved regions in multiple sequence alignment. International Journal of Computers and Applications, 43(10), 1-8.
DOI Scopus2

Year Citation
2025 Perera, K. K., Neumann, F., & Neumann, A. (2025). Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions. In Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA 2025) (pp. 214-225). New York, NY, USA: Association for Computing Machinery (ACM).
DOI
2024 Perera, K. K., & Neumann, A. (2024). Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 223-231). Online: ACM.
DOI Scopus10 WoS3
2024 Perera, K. K., Neumann, F., & Neumann, A. (2024). Multi-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits. In Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN 2024) as published in Lecture Notes in Computer Science Vol. 15148 LNCS (pp. 116-132). Hagenberg: Springer Nature Switzerland.
DOI Scopus1 WoS2
2016 Perera, K. K., & Wannige, C. T. (2016). A Hybrid Algorithm for Multiple DNA Sequence Alignment. In 2016 SIXTEENTH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER) - 2016 (pp. 323). SRI LANKA, Negombo: IEEE.
DOI

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