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NEO 2016results of the Numerical and...

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	NEO 2016edited by Yazmin Maldonado ... [et al.].
其他題名:	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 /
其他題名:	NEO Cities 2016
其他作者:	Maldonado, Yazmin.
團體作者:
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xiii, 282 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization
電子資源:	http://dx.doi.org/10.1007/978-3-319-64063-1
ISBN:	9783319640631$q(electronic bk.)

NEO 2016results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico /
NEO 2016results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico /[electronic resource] :NEO Cities 2016edited by Yazmin Maldonado ... [et al.]. - Cham :Springer International Publishing :2018. - xiii, 282 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7311860-949X ;. - Studies in computational intelligence ;v. 216..

Part I: Smart Cities -- Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Trafﬁc -- Augmenting the LSA Technique to Evaluate Ubicomp Environments -- Mixed Integer Programming Formulation for the Energy-Efﬁcient Train Timetables Problem -- Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview -- Part II: Search, Optimization and Hybrid Algorithms -- Integer Programming Models and Heuristics for Non-Crossing Euclidean 3-Matchings -- A Multi-Objective Robust Ellipse Fitting Algorithm -- Gradient-Based Multiobjective Optimization with Uncertainties -- A New Local Search Heuristic for the Multidimensional Assignment Problem -- Part III: Electronics and Embedded Systems -- A Multi-Objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems -- Coefﬁcients Estimation of MPM through LSE, ORLS and SLS for RF-PA Modeling and DPD -- Optimal Sizing of Ampliﬁers by Evolutionary Algorithms with Integer Encoding and gm/ID Design Method -- Index.

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 ﬁelds 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 ﬁelds 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 ﬁelds 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.

ISBN: 9783319640631$q(electronic bk.)

Standard No.: 10.1007/978-3-319-64063-1doiSubjects--Topical Terms:

252884
Mathematical optimization

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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