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Article
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 ...
Article
jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
(Elsevier, 2019)
This paper describes jMetalPy, an object-oriented Python-based framework for multi-objective optimization with metaheuristic techniques. Building upon our experiences with the well-known jMetal framework, we have developed ...
Presentation
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 ...
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 ...