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Found 1,731 Documents (Results 1–100)

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Swarm intelligence and deep evolution. Evolutionary approach to artificial intelligence. (English) Zbl 07517354

Boca Raton, FL: CRC Press/Science Publishers (ISBN 978-1-032-00915-5/hbk; 978-1-032-00917-9/pbk; 978-1-003-17636-7/ebook). ix, 277 p. (2022).
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Computational intelligence. A methodological introduction. With contributions from Frank Klawonn and Christian Moewes. 3rd edition. (English) Zbl 07469685

Texts in Computer Science. Cham: Springer (ISBN 978-3-030-42226-4/hbk; 978-3-030-42229-5/pbk; 978-3-030-42227-1/ebook). xiv, 639 p. (2022).
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Automating data-driven modelling of dynamical systems. An evolutionary computation approach. (English) Zbl 1480.93002

Springer Theses. Cham: Springer; Eindhoven: Eindhoven University of Technology (Diss.) (ISBN 978-3-030-90342-8/hbk; 978-3-030-90343-5/ebook). xxiii, 229 p. (2022).
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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).
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On some variants of the merging variables based \((1+1)\)-evolutionary algorithm with application to MaxSAT problem. (English) Zbl 1487.90483

Pardalos, Panos (ed.) et al., Mathematical optimization theory and operations research. 20th international conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12755, 111-124 (2021).
MSC:  90C10 90C59
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Function management in multi-population methods with a variable number of populations: a variable action learning automaton approach. (English) Zbl 1485.68325

Kordestani, Javidan Kazemi (ed.) et al., Advances in learning automata and intelligent optimization. Cham: Springer. Intell. Syst. Ref. Libr. 208, 323-340 (2021).
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Learning automata for online function evaluation management in evolutionary multi-population methods for dynamic optimization problems. (English) Zbl 1485.68324

Kordestani, Javidan Kazemi (ed.) et al., Advances in learning automata and intelligent optimization. Cham: Springer. Intell. Syst. Ref. Libr. 208, 287-321 (2021).
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An overview of multi-population methods for dynamic environments. (English) Zbl 1485.68323

Kordestani, Javidan Kazemi (ed.) et al., Advances in learning automata and intelligent optimization. Cham: Springer. Intell. Syst. Ref. Libr. 208, 253-286 (2021).
MSC:  68W50 68T20 90C59
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The applications of object migration automaton (OMA)-memetic algorithm for solving NP-hard problems. (English) Zbl 1485.68221

Kordestani, Javidan Kazemi (ed.) et al., Advances in learning automata and intelligent optimization. Cham: Springer. Intell. Syst. Ref. Libr. 208, 195-252 (2021).
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A memetic model based on fixed structure learning automata for solving NP-hard problems. (English) Zbl 1485.68220

Kordestani, Javidan Kazemi (ed.) et al., Advances in learning automata and intelligent optimization. Cham: Springer. Intell. Syst. Ref. Libr. 208, 159-193 (2021).
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Learning automata for behavior control in evolutionary computation. (English) Zbl 1485.68219

Kordestani, Javidan Kazemi (ed.) et al., Advances in learning automata and intelligent optimization. Cham: Springer. Intell. Syst. Ref. Libr. 208, 127-157 (2021).
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Genetic algorithms and applications for stock trading optimization. (English) Zbl 1481.68009

Advances in Computational Intelligence and Robotics (ACIR). Hershey, PA: Engineering Science Reference/IGI Global (ISBN 978-1-7998-4105-0; 978-1-7998-7077-7/pbk; 978-1-7998-4106-7/ebook). x, 262 p. (2021).
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Symmetry breaking for voting mechanisms. (English) Zbl 1474.68478

Zarges, Christine (ed.) et al., Evolutionary computation in combinatorial optimization. 21st European conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7–9, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12692, 185-201 (2021).
MSC:  68W50 68T20 90C59
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Stagnation detection with randomized local search. (English) Zbl 1474.68477

Zarges, Christine (ed.) et al., Evolutionary computation in combinatorial optimization. 21st European conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7–9, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12692, 152-168 (2021).
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Runtime analysis of the \((\mu + 1)\)-EA on the dynamic BinVal function. (English) Zbl 1474.68474

Zarges, Christine (ed.) et al., Evolutionary computation in combinatorial optimization. 21st European conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7–9, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12692, 84-99 (2021).
MSC:  68W50 68W40 90C59
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Decomposition-based multi-objective landscape features and automated algorithm selection. (English) Zbl 1474.68472

Zarges, Christine (ed.) et al., Evolutionary computation in combinatorial optimization. 21st European conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7–9, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12692, 34-50 (2021).
MSC:  68W50 90C29 90C59
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A novel ant colony optimization strategy for the quantum circuit compilation problem. (English) Zbl 1474.68322

Zarges, Christine (ed.) et al., Evolutionary computation in combinatorial optimization. 21st European conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7–9, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12692, 1-16 (2021).
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Proceedings of the 16th ACM/SIGEVO workshop on foundations of genetic algorithms, FOGA 2021, virtual event, Dornbirn, Austria, September 6–8, 2021. (English) Zbl 1470.68013

New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-8352-3). 10 articles, not consecutively paged (2021).
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