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Found 3,739 Documents (Results 1–100)

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Intelligent Biomedical Data Analysis 4. Berlin: De Gruyter (ISBN 978-3-11-067606-8/hbk; 978-3-11-067611-2/ebook). xiii, 153 p. (2021).
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Dey, Nilanjan (ed.) et al., Applied nature-inspired computing: algorithms and case studies. Singapore: Springer. Springer Tracts Nat.-Inspir. Comput., 253-275 (2020).
MSC:  92E20 68T05 90C59
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Dey, Nilanjan (ed.) et al., Applied nature-inspired computing: algorithms and case studies. Singapore: Springer. Springer Tracts Nat.-Inspir. Comput., 129-150 (2020).
MSC:  92C55 90C59
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Kochetov, Yury (ed.) et al., Mathematical optimization theory and operations research. 19th international conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020. Revised selected papers. Cham: Springer. Commun. Comput. Inf. Sci. 1275, 350-362 (2020).
MSC:  90C27 90C59
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Kochetov, Yury (ed.) et al., Mathematical optimization theory and operations research. 19th international conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020. Revised selected papers. Cham: Springer. Commun. Comput. Inf. Sci. 1275, 320-335 (2020).
MSC:  90C59
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Springer Tracts in Nature-Inspired Computing. Singapore: Springer (ISBN 978-981-15-0305-4/hbk; 978-981-15-0308-5/pbk; 978-981-15-0306-1/ebook). xiii, 266 p. (2020).
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Sergeyev, Yaroslav D. (ed.) et al., Numerical computations: theory and algorithms. Third international conference, NUMTA 2019, Crotone, Italy, June 15–21, 2019. Revised selected papers. Part I. Cham: Springer (ISBN 978-3-030-39080-8/pbk; 978-3-030-39081-5/ebook). Lecture Notes in Computer Science 11973, 269-277 (2020).
MSC:  65
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Lirkov, Ivan (ed.) et al., Large-scale scientific computing. 12th international conference, LSSC 2019, Sozopol, Bulgaria, June 10–14, 2019. Revised selected papers. Cham: Springer. Lect. Notes Comput. Sci. 11958, 493-500 (2020).
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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
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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
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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, 385-402 (2020).
MSC:  90C59 90C29 90C90
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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, 359-383 (2020).
MSC:  90C59 90C27 90B80
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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, 335-358 (2020).
MSC:  90C59 90C27 90B80
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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, 323-334 (2020).
MSC:  90C59 90C26 90C90
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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, 303-321 (2020).
MSC:  90C59 91B76
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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, 283-302 (2020).
MSC:  90C59 90C90
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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, 35-51 (2020).
MSC:  90C59
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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, 3-25 (2020).
MSC:  90C59
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