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Numerical and Evolutionary Optimization 2021

2023 Numerical analysis
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Release : 2023
Genre : Numerical analysis
Kind : eBook
Book Rating : 054/5 ( reviews)

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Book Synopsis Numerical and Evolutionary Optimization 2021 by : Marcela Quiroz

Download or read book Numerical and Evolutionary Optimization 2021 written by Marcela Quiroz. This book was released on 2023. Available in PDF, EPUB and Kindle. Book excerpt: This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

Numerical and Evolutionary Optimization 2021

2023-06-16 Technology & Engineering
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Release : 2023-06-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 047/5 ( reviews)

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Book Synopsis Numerical and Evolutionary Optimization 2021 by : Marcela Quiroz

Download or read book Numerical and Evolutionary Optimization 2021 written by Marcela Quiroz. This book was released on 2023-06-16. Available in PDF, EPUB and Kindle. Book excerpt: This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

Numerical and Evolutionary Optimization – NEO 2017

2018-07-12 Technology & Engineering
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Release : 2018-07-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 047/5 ( reviews)

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Book Synopsis Numerical and Evolutionary Optimization – NEO 2017 by : Leonardo Trujillo

Download or read book Numerical and Evolutionary Optimization – NEO 2017 written by Leonardo Trujillo. This book was released on 2018-07-12. Available in PDF, EPUB and Kindle. Book excerpt: This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.

Evolutionary Computation in Combinatorial Optimization

2021-03-26 Computers
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Release : 2021-03-26
Genre : Computers
Kind : eBook
Book Rating : 044/5 ( reviews)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Christine Zarges

Download or read book Evolutionary Computation in Combinatorial Optimization written by Christine Zarges. This book was released on 2021-03-26. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. The 14 revised full papers presented in this book were carefully reviewed and selected from 42 submissions. They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. Applications cover problem domains such as scheduling, routing, search-based software engineering and general graph problems. The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization.

Evolutionary Multi-Criterion Optimization

2021-03-24 Computers
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Release : 2021-03-24
Genre : Computers
Kind : eBook
Book Rating : 624/5 ( reviews)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Hisao Ishibuchi

Download or read book Evolutionary Multi-Criterion Optimization written by Hisao Ishibuchi. This book was released on 2021-03-24. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.

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