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Found 4,089 Documents (Results 1–100)

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Changdar, Chiranjit; Giri, Pravash Kumar; Pal, Rajat Kumar; Haldar, Alok; Acharyya, Samiran; Dhal, Debasis; Khowas, Moumita; Sahana, Sudip Kumar

Solving a mathematical model for small vegetable sellers in India by a stochastic knapsack problem: an advanced genetic algorithm based approach. (English) Zbl 1504.90209

Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 30, No. 5, 897-921 (2022).
MSC:  90C90 68W50 90C27 90C59 90C70
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\textit{C. Changdar} et al., Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 30, No. 5, 897--921 (2022; Zbl 1504.90209)
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Zhao, Shaoyu; Zhang, Yingyan; Zhang, Yihe; Zhang, Wei; Yang, Jie; Kitipornchai, Sritawat

Buckling of functionally graded hydrogen-functionalized graphene reinforced beams based on machine learning-assisted micromechanics models. (English) Zbl 1498.74023

Eur. J. Mech., A, Solids 96, Article ID 104675, 13 p. (2022).
MSC:  74G60 74K10 74E30 74Q15 74M25 74S99 74F05 68T05
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\textit{S. Zhao} et al., Eur. J. Mech., A, Solids 96, Article ID 104675, 13 p. (2022; Zbl 1498.74023)
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Wang, Bo; Gómez-Aguilar, J. F.; Sabir, Zulqurnain; Raja, Muhammad Asif Zahoor; Xia, Wei-Feng; Jahanshahi, Hadi; Alassafi, Madini O.; Alsaadi, Fawaz E.

Numerical computing to solve the nonlinear corneal system of eye surgery using the capability of morlet wavelet artificial neural networks. (English) Zbl 07578007

Fractals 30, No. 5, Article ID 2240147, 19 p. (2022).
MSC:  65Lxx 34Bxx 93Cxx
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\textit{B. Wang} et al., Fractals 30, No. 5, Article ID 2240147, 19 p. (2022; Zbl 07578007)
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Doerr, Benjamin; Rajabi, Amirhossein

Stagnation detection meets fast mutation. (English) Zbl 1499.68430

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 22nd European conference, EvoCOP 2022, held as part of EvoStar 2022, Madrid, Spain, April 20–22, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13222, 191-207 (2022).
MSC:  68W50 90C59
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\textit{B. Doerr} and \textit{A. Rajabi}, Lect. Notes Comput. Sci. 13222, 191--207 (2022; Zbl 1499.68430)
Full Text: DOI arXiv
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Panda, Sai; Mei, Yi; Zhang, Mengjie

Simplifying dispatching rules in genetic programming for dynamic job shop scheduling. (English) Zbl 1499.90083

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 22nd European conference, EvoCOP 2022, held as part of EvoStar 2022, Madrid, Spain, April 20–22, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13222, 95-110 (2022).
MSC:  90B35 90C59
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\textit{S. Panda} et al., Lect. Notes Comput. Sci. 13222, 95--110 (2022; Zbl 1499.90083)
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Anderer, Simon; Schrader, Falk; Scheuermann, Bernd; Mostaghim, Sanaz

Evolutionary algorithms for the constrained two-level role mining problem. (English) Zbl 1499.90109

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 22nd European conference, EvoCOP 2022, held as part of EvoStar 2022, Madrid, Spain, April 20–22, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13222, 79-94 (2022).
MSC:  90B80 68W50 90C27 90C59
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\textit{S. Anderer} et al., Lect. Notes Comput. Sci. 13222, 79--94 (2022; Zbl 1499.90109)
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Pascariu, Bianca; Samà, Marcella; Pellegrini, Paola; D’Ariano, Andrea; Rodriguez, Joaquin; Pacciarelli, Dario

Performance evaluation of a parallel ant colony optimization for the real-time train routing selection problem in large instances. (English) Zbl 1499.90047

Pérez Cáceres, Leslie (ed.) et al., Evolutionary computation in combinatorial optimization. 22nd European conference, EvoCOP 2022, held as part of EvoStar 2022, Madrid, Spain, April 20–22, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13222, 46-61 (2022).
MSC:  90B10 68W50 90B35 90C59
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\textit{B. Pascariu} et al., Lect. Notes Comput. Sci. 13222, 46--61 (2022; Zbl 1499.90047)
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Mohamed, Ali Wagdy (ed.); Oliva, Diego (ed.); Suganthan, Ponnuthurai Nagaratnam (ed.)

Handbook of nature-inspired optimization algorithms: the state of the art. Volume II. Solving constrained single objective real-parameter optimization problems. (English) Zbl 1495.68002

Studies in Systems, Decision and Control 213. Cham: Springer (ISBN 978-3-031-07515-5/hbk; 978-3-031-07516-2/ebook). x, 214 p. (2022).
MSC:  68-00 90-00 68W50 90C59 00B15
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\textit{A. W. Mohamed} (ed.) et al., Handbook of nature-inspired optimization algorithms: the state of the art. Volume II. Solving constrained single objective real-parameter optimization problems. Cham: Springer (2022; Zbl 1495.68002)
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Mohamed, Ali (ed.); Oliva, Diego (ed.); Suganthan, Ponnuthurai Nagaratnam (ed.)

Handbook of nature-inspired optimization algorithms: the state of the art. Volume I. Solving single objective bound-constrained real-parameter numerical optimization problems. (English) Zbl 1495.68001

Studies in Systems, Decision and Control 212. Cham: Springer (ISBN 978-3-031-07511-7/hbk; 978-3-031-07512-4/ebook). x, 279 p. (2022).
MSC:  68-00 90-00 68W50 90C59 00B15
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\textit{A. Mohamed} (ed.) et al., Handbook of nature-inspired optimization algorithms: the state of the art. Volume I. Solving single objective bound-constrained real-parameter numerical optimization problems. Cham: Springer (2022; Zbl 1495.68001)
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Banzhaf, Wolfgang (ed.); Trujillo, Leonardo (ed.); Winkler, Stephan (ed.); Worzel, Bill (ed.)

Genetic programming theory and practice XVIII. Proceedings of the online workshop, GPTP, 2021. (English) Zbl 1482.68006

Genetic and Evolutionary Computation. Singapore: Springer (ISBN 978-981-16-8112-7/hbk; 978-981-16-8115-8/pbk; 978-981-16-8113-4/ebook). xiv, 212 p. (2022).
MSC:  68-06 68T05 68T20 68W50 90C59 00B25
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\textit{W. Banzhaf} (ed.) et al., Genetic programming theory and practice XVIII. Proceedings of the online workshop, GPTP, 2021. Singapore: Springer (2022; Zbl 1482.68006)
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Kabadurmus, Ozgur; Tasgetiren, M. Fatih; Oztop, Hande; Erdogan, M. Serdar

Solving 0-1 bi-objective multi-dimensional knapsack problems using binary genetic algorithm. (English) Zbl 07608623

Yalaoui, Farouk (ed.) et al., Heuristics for optimization and learning. Selected papers based on the presentations of the 7th international conference on metaheuristics and nature inspired computing, META’18, Marrakech, Morocco, October 27–31, 2018. Cham: Springer. Stud. Comput. Intell. 906, 51-67 (2021).
MSC:  90C27 90C29 90C59
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\textit{O. Kabadurmus} et al., Stud. Comput. Intell. 906, 51--67 (2021; Zbl 07608623)
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Zapata-Cortes, Julian Andres; Arango-Serna, Martin Darío; Serna-Úran, Conrado Augusto; Gil-Gómez, Hermenegildo

A genetic algorithm for solving the inventory routing problem with time windows. (English) Zbl 1500.90005

Zapata-Cortes, Julian Andres (ed.) et al., New perspectives on enterprise decision-making applying artificial intelligence techniques. Cham: Springer. Stud. Comput. Intell. 966, 463-481 (2021).
MSC:  90B06 90B05 90C59
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\textit{J. A. Zapata-Cortes} et al., Stud. Comput. Intell. 966, 463--481 (2021; Zbl 1500.90005)
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Roeva, Olympia; Fidanova, Stefka; Ganzha, Maria

InterCriteria analysis of the evaporation parameter influence on ant colony optimization algorithm: a workforce planning problem. (English) Zbl 1497.90119

Fidanova, Stefka (ed.), Recent advances in computational optimization. Results of the 12th international workshop on computational optimization (WCO), Leipzig, Germany, September 1–4, 2019. Cham: Springer. Stud. Comput. Intell. 920, 89-109 (2021).
MSC:  90B70 68W50 90B50 90C59 90C70
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\textit{O. Roeva} et al., Stud. Comput. Intell. 920, 89--109 (2021; Zbl 1497.90119)
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Pinto, Renê S.; Costa, M. Fernanda P.; Costa, Lino A.; Gaspar-Cunha, António

A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms. (English) Zbl 1493.90240

Gaspar-Cunha, António (ed.) et al., Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Selected papers based on the presentations at the EUROGEN 2019 international conference, Guimarães, Portugal, September 12–14, 2019. Cham: Springer. Comput. Methods Appl. Sci. 55, 85-97 (2021).
MSC:  90C59 90C29 68W50
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\textit{R. S. Pinto} et al., Comput. Methods Appl. Sci. 55, 85--97 (2021; Zbl 1493.90240)
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Nikfarjam, Adel; Bossek, Jakob; Neumann, Aneta; Neumann, Frank

Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation. (English) Zbl 07526452

Proceedings of the 16th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2021, virtual event, Dornbirn, Austria, September 6–8, 2021. New York, NY: Association for Computing Machinery (ACM). Article No. 9, 11 p. (2021).
MSC:  68W50 90C27 90C59
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\textit{A. Nikfarjam} et al., in: Proceedings of the 16th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2021, virtual event, Dornbirn, Austria, September 6--8, 2021. New York, NY: Association for Computing Machinery (ACM). Article No. 9, 11 p. (2021; Zbl 07526452)
Full Text: DOI arXiv
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Bossek, Jakob; Sudholt, Dirk

Do additional optima speed up evolutionary algorithms? (English) Zbl 07526451

Proceedings of the 16th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2021, virtual event, Dornbirn, Austria, September 6–8, 2021. New York, NY: Association for Computing Machinery (ACM). Article No. 8, 11 p. (2021).
MSC:  68W50 68W20 68W40 90C59
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\textit{J. Bossek} and \textit{D. Sudholt}, in: Proceedings of the 16th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2021, virtual event, Dornbirn, Austria, September 6--8, 2021. New York, NY: Association for Computing Machinery (ACM). Article No. 8, 11 p. (2021; Zbl 07526451)
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Heins, Jonathan; Bossek, Jakob; Pohl, Janina Susanne; Seiler, Moritz; Trautmann, Heike; Kerschke, Pascal

On the potential of normalized TSP features for automated algorithm selection. (English) Zbl 07526450

Proceedings of the 16th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2021, virtual event, Dornbirn, Austria, September 6–8, 2021. New York, NY: Association for Computing Machinery (ACM). Article No. 7, 15 p. (2021).
MSC:  68W50 90C27 90C59
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\textit{J. Heins} et al., in: Proceedings of the 16th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2021, virtual event, Dornbirn, Austria, September 6--8, 2021. New York, NY: Association for Computing Machinery (ACM). Article No. 7, 15 p. (2021; Zbl 07526450)
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