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Numerical and Evolutionary Optimization – NEO 2017

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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.

Numerical and Evolutionary Optimization

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Author :
Release : 2019
Genre : Engineering (General). Civil engineering (General)
Kind : eBook
Book Rating : 172/5 ( reviews)

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Book Synopsis Numerical and Evolutionary Optimization by : Adriana Lara

Download or read book Numerical and Evolutionary Optimization written by Adriana Lara. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: This book was established after the 6th 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 2020

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Release : 2021-08-26
Genre : Computers
Kind : eBook
Book Rating : 691/5 ( reviews)

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Book Synopsis Numerical and Evolutionary Optimization 2020 by : Marcela Quiroz

Download or read book Numerical and Evolutionary Optimization 2020 written by Marcela Quiroz. This book was released on 2021-08-26. Available in PDF, EPUB and Kindle. Book excerpt: This book was established after the 8th 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.

Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

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Release : 2021-01-04
Genre : Technology & Engineering
Kind : eBook
Book Rating : 735/5 ( reviews)

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Book Synopsis Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms by : Oliver Schütze

Download or read book Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms written by Oliver Schütze. This book was released on 2021-01-04. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the field of multi-objective optimization.

Numerical and Evolutionary Optimization 2021

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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.

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