×

zbMATH — the first resource for mathematics

Found 648 Documents (Results 1–100)

100
MathJax
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 1675-1693 (2021).
MSC:  91G40 62P05 68T05
PDF BibTeX XML Cite
Full Text: DOI
Castillo, Oscar (ed.) et al., Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithms: theory and applications. Cham: Springer. Stud. Comput. Intell. 862, 615-628 (2020).
MSC:  68T37
PDF BibTeX XML Cite
Full Text: DOI
Castillo, Oscar (ed.) et al., Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithms: theory and applications. Cham: Springer. Stud. Comput. Intell. 862, 581-592 (2020).
MSC:  68T37
PDF BibTeX XML Cite
Full Text: DOI
Castillo, Oscar (ed.) et al., Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithms: theory and applications. Cham: Springer. Stud. Comput. Intell. 862, 445-459 (2020).
MSC:  68T37
PDF BibTeX XML Cite
Full Text: DOI
Castillo, Oscar (ed.) et al., Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithms: theory and applications. Cham: Springer. Stud. Comput. Intell. 862, 431-443 (2020).
MSC:  68T37
PDF BibTeX XML Cite
Full Text: DOI
Pan, Linqiang (ed.) et al., Bio-inspired computing: theories and applications. 14th international conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019. Revised selected papers. Part II. Singapore: Springer. Commun. Comput. Inf. Sci. 1160, 310-325 (2020).
MSC:  68Q07
PDF BibTeX XML Cite
Full Text: DOI
Bennis, Fouad (ed.) et al., Nature-inspired methods for metaheuristics optimization. Algorithms and applications in science and engineering. Cham: Springer. Model. Optim. Sci. Technol. 16, 441-464 (2020).
MSC:  90C59 90B35
PDF BibTeX XML Cite
Full Text: DOI
Bennis, Fouad (ed.) et al., Nature-inspired methods for metaheuristics optimization. Algorithms and applications in science and engineering. Cham: Springer. Model. Optim. Sci. Technol. 16, 421-439 (2020).
MSC:  90C59 90C29 90C90
PDF BibTeX XML Cite
Full Text: DOI
Paris: Cassini (ISBN 978-2-84225-259-5/pbk). 252 p. (2020).
MSC:  92-02 92B20 92D15
PDF BibTeX XML Cite
Proceedings of the 15th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2019, Potsdam, Germany, August 27–29, 2019. New York, NY: Association for Computing Machinery (ACM). 43-57 (2019).
MSC:  68T20 90C59
PDF BibTeX XML Cite
Full Text: DOI
PDF BibTeX XML Cite
Full Text: DOI
Singapore: Springer (ISBN 978-981-13-0199-5/hbk; 978-981-13-0200-8/ebook). xiii, 245 p. (2018).
PDF BibTeX XML Cite
Full Text: DOI
Advances in Intelligent Systems and Computing 652. Singapore: Springer (ISBN 978-981-10-6746-4/hbk; 978-981-10-6747-1/ebook). xvi, 210 p. (2018).
PDF BibTeX XML Cite
Full Text: DOI
Emergence, Complexity and Computation 26. Berlin: Springer (ISBN 978-3-662-55661-0/hbk; 978-3-662-55663-4/ebook). xxii, 312 p. (2018).
PDF BibTeX XML Cite
Full Text: DOI
Papadimitriou, Christos H. (ed.), 8th innovations in theoretical computer science conference, ITCS 2017, Berkeley, CA, USA, January 9–11, 2017. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik (ISBN 978-3-95977-029-3). LIPIcs – Leibniz International Proceedings in Informatics 67, Article 19, 22 p. (2017).
PDF BibTeX XML Cite
Full Text: DOI
Papadimitriou, Christos H. (ed.), 8th innovations in theoretical computer science conference, ITCS 2017, Berkeley, CA, USA, January 9–11, 2017. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik (ISBN 978-3-95977-029-3). LIPIcs – Leibniz International Proceedings in Informatics 67, Article 17, 17 p. (2017).
MSC:  68T05 68T50
PDF BibTeX XML Cite
Full Text: DOI arXiv
Cao, Yixin (ed.) et al., Computing and combinatorics. 23rd international conference, COCOON 2017, Hong Kong, China, August 3–5, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10392, 666-677 (2017).
MSC:  68T20 05C82 90C59
PDF BibTeX XML Cite
Full Text: DOI
Proceedings of the 14th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2017, Copenhagen, Denmark, January 12–15, 2017. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4651-1). 149-161 (2017).
PDF BibTeX XML Cite
Full Text: DOI
Proceedings of the 14th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2017, Copenhagen, Denmark, January 12–15, 2017. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4651-1). 139-148 (2017).
MSC:  68T20 68T05
PDF BibTeX XML Cite
Full Text: DOI
Proceedings of the 14th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2017, Copenhagen, Denmark, January 12–15, 2017. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4651-1). 127-138 (2017).
PDF BibTeX XML Cite
Full Text: DOI
Proceedings of the 14th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2017, Copenhagen, Denmark, January 12–15, 2017. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4651-1). 111-126 (2017).
MSC:  68T20
PDF BibTeX XML Cite
Full Text: DOI arXiv

Filter Results by …

Document Type
Reviewing State
all top 5
Author
all top 5
Serial
all top 5
Year of Publication
all top 3
Classification
all top 3
Software