JYX > Opinnäytteet > Väitöskirjat > View Item
Parallel global optimization : structuring populations in differential evolution
Published inJyväskylä studies in computing
PublisherUniversity of Jyväskylä
ISSN Search the Publication Forum1456-5390
MetadataShow full item record
- Väitöskirjat 
Showing items with similar title or keywords.
Algorithmic issues in computational intelligence optimization : from design to implementation, from implementation to design Caraffini, Fabio (University of Jyväskylä, 2016)The vertiginous technological growth of the last decades has generated a variety of powerful and complex systems. By embedding within modern hardware devices sophisticated software, they allow the solution of complicated ...
Simple memetic computing structures for global optimization Poikolainen, Ilpo (University of Jyväskylä, 2014)
Memory-saving optimization algorithms for systems with limited hardware Iacca, Giovanni (University of Jyväskylä, 2011)
Data-Driven Evolutionary Optimization : An Overview and Case Studies Jin, Yaochu; Wang, Handing; Chugh, Tinkle; Guo, Dan; Miettinen, Kaisa (Institute of Electrical and Electronics Engineers, 2019)Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may ...
Handling expensive multiobjective optimization problems with evolutionary algorithms Chugh, Tinkle (University of Jyväskylä, 2017)Multiobjective optimization problems (MOPs) with a large number of conﬂicting objectives are often encountered in industry. Moreover, these problem typically involve expensive evaluations (e.g. time consuming simulations ...