Výsledky vyhledávání - "Dynamic multi-objective optimisation algorithm"

Analysing the performance of dynamic multi-objective optimisation algorithms

Autoři: Helbig, M Engelbrecht, AP

Témata: Dynamic multi-objective optimisation problems, DMOOP, Dynamic multi-objective optimisation algorithm, DMOA

Popis souboru: application/pdf

Relation: Workflow;11367; http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6557744; http://hdl.handle.net/10204/6945

Dostupnost: http://hdl.handle.net/10204/6945
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6557744

Special Issue "Model Predictive Control: Algorithms and Applications": Foreword by the Guest Editor.

Autoři: Ławryńczuk, Maciej

Zdroj: Algorithms; Dec2022, Vol. 15 Issue 12, p452, 3p

Témata: PREDICTION models, ALGORITHMS, ARTIFICIAL neural networks, MONTE Carlo method, EULER equations (Rigid dynamics)

Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization.

Autoři: Helbig, Mardé Engelbrecht, Andries P.

Zdroj: Advances in Nature & Biologically Inspired Computing; 2016, p381-392, 12p

Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization

Autoři: Andries P. Engelbrecht Mardé Helbig

Zdroj: Advances in Intelligent Systems and Computing ISBN: 9783319273990

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/nabic/nabic2015.html#HelbigE15
https://link.springer.com/10.1007/978-3-319-27400-3_34
https://rd.springer.com/chapter/10.1007/978-3-319-27400-3_34
https://link.springer.com/chapter/10.1007/978-3-319-27400-3_34

Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems.

Autoři: Joćko, Paweł Ombuki-Berman, Beatrice M. Engelbrecht, Andries P.

Zdroj: Swarm Intelligence; Jun2022, Vol. 16 Issue 2, p143-168, 26p

Influence of the archive size on the performance of the dynamic vector evaluated particle swarm optimisation algorithm solving dynamic multi-objective optimisation problems.

Autoři: Helbig, Marde Engelbrecht, Andries

Zdroj: 2015 IEEE Congress on Evolutionary Computation (CEC); 2015, p1926-1933, 8p

Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation.

Autoři: Helbig, Marde Engelbrecht, Andries P.

Zdroj: 2014 IEEE Congress on Evolutionary Computation (CEC); 2014, p3151-3159, 9p

Analysing the performance of dynamic multi-objective optimisation algorithms.

Autoři: Helbig, Marde Engelbrecht, Andries P.

Zdroj: 2013 IEEE Congress on Evolutionary Computation; 2013, p1531-1539, 9p

Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation

Autoři: Andries P. Engelbrecht Mardé Helbig

Zdroj: 2014 IEEE Congress on Evolutionary Computation (CEC). :3151-3159

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/cec/cec2014.html#HelbigE14
https://ieeexplore.ieee.org/document/6900303/
http://ieeexplore.ieee.org/document/6900303/

Analysing the performance of dynamic multi-objective optimisation algorithms

Autoři: Andries P. Engelbrecht Mardé Helbig

Zdroj: 2013 IEEE Congress on Evolutionary Computation. :1531-1539

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://researchspace.csir.co.za/dspace/bitstream/10204/6945/1/Helbig_2013_ABSTRACT%20ONLY.pdf
https://dblp.uni-trier.de/db/conf/cec/cec2013.html#HelbigE13

Advances in Nature and Biologically Inspired Computing

Autoři: Nelishia Pillay Andries P. Engelbrecht Ajith Abraham a další

Resource Type: eBook.

Témata: Artificial intelligence, Computer science, Natural computation, Computational intelligence

Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General)