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Книга NEO 2016 Yazmin Maldonado

NEO 2016

Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico

Автор: Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile
Език: Английски език
Корици: С твърди корици
Издател: Springer International Publishing AG
Наличност: Външен склад
Изпращаме след 10-13 дни
105.43 € 206.21 лв
This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization...

Информация за книгата

Автор
Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2017
страници
282
EAN
9783319640624
ISBN
3319640623
Enbook ID
16608641
Издател
Springer International Publishing AG
Теглоt
5679
Размери
155 x 235 x 23

Пълно описание

This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today's world and requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known elds that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together experts from these and related elds to discuss, compare and merge their complementary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. In doing so, NEO promotes the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging elds that affect all of us, such as healthcare, smart cities, big data, among many others. The extended papers presented in the book contribute to achieving this goal.

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