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Optimizing Ontology Alignments by Using Genetic Algorithms.

, , and . NatuReS, volume 419 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)

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GENESIS: An Object-Oriented Framework for Simulation of Neural Network Models., , and . ICANNGA, page 321-324. Springer, (1995)Database Management Issues in the Web Environment., , , and . Effective Databases for Text & Document Management, IRM Press, (2003)jMetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework., , , and . Bioinform., 30 (3): 437-438 (2014)Calculating semantic relatedness for biomedical use in a knowledge-poor environment., and . BMC Bioinform., 15 (S-14): S2 (2014)Reconstruction of gene regulatory networks with multi-objective particle swarm optimisers., , , , and . Appl. Intell., 51 (4): 1972-1991 (2021)Multi-objective ligand-protein docking with particle swarm optimizers., , , , and . Swarm Evol. Comput., (2019)Optimizing ligand conformations in flexible protein targets: a multi-objective strategy., , , , and . Soft Comput., 24 (14): 10705-10719 (2020)GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks., , , and . Comput. Biol. Medicine, (March 2023)FIMED: Flexible management of biomedical data., , , and . Comput. Methods Programs Biomed., (2021)M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic., , , and . Bioinform., 33 (19): 3011-3017 (2017)