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Article
A multi-objective interactive dynamic particle swarm optimizer
(Springer, 2020)
Multi-objective optimization deals with problems having two or more conflicting objectives that have to be optimized simulta-neously. When the objectives change somehow with time, the problems become dynamic, and if the ...
Article
Optimizing ligand conformations in flexible protein targets: amulti-objective strategy
(Springer, 2020)
Finding the orientation of a ligand (small molecule) with the lowest binding energy to the macromolecule (receptor) is a complex optimization problem, commonly called ligand–protein docking. This problem has been usually ...
Article
Ontology-driven approach for KPI meta-modelling, selection and reasoning
(Elsevier, 2021)
A key challenge in current Business Analytics (BA) is the selection of suitable indicators for business objectives. This requires the exploration of business data through data-driven approaches, while modelling business ...
Article
On the design of a framework integrating an optimization engine with streaming technologies
(Elsevier, 2020)
A number of streaming technologies have appeared in the last years as a result of the rising of Big Data applications. Nowadays, deciding which technology to adopt is not an easy task due not only to the number of available ...