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Artículo
jMetalSP: A framework for dynamic multi-objective big data optimization
(Elsevier, 2018)
Multi-objective metaheuristics have become popular techniques for dealing with complex optimization problems composed of a number of conflicting functions. Nowadays, we are in the Big Data era, so metaheuristics must be ...
Artículo
A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems
(IEEE Computer Society, 2010)
To evaluate the search capabilities of a multiobjective algorithm, the usual approach is to choose a benchmark of known problems, to perform a fixed number of function evaluations, and to apply a set of quality indicators. ...
Ponencia
About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
(Springer, 2018)
Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and ...