|
Showing 1 - 4 of
4 matches in All Departments
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.
This book comprises a selection of extended abstracts and papers
presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim
of the EVOLVE is to build a bridge between probability, set
oriented numerics, and evolutionary computation as to identify new
common and challenging research aspects. The conference is also
intended to foster a growing interest for robust and efficient
methods with a sound theoretical background. EVOLVE aims to unify
theory-inspired methods and cutting-edge techniques ensuring
performance guarantee factors. By gathering researchers with
different backgrounds, a unified view and vocabulary can emerge
where the theoretical advancements may echo in different domains.
Summarizing, the EVOLVE conference focuses on challenging aspects
arising at the passage from theory to new paradigms and aims to
provide a unified view while raising questions related to
reliability, performance guarantees, and modeling. The extended
papers of the EVOLVE 2012 make a contribution to this goal.
This book comprises a selection of extended abstracts and papers
presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim
of the EVOLVE is to build a bridge between probability, set
oriented numerics, and evolutionary computation as to identify new
common and challenging research aspects. The conference is also
intended to foster a growing interest for robust and efficient
methods with a sound theoretical background. EVOLVE aims to unify
theory-inspired methods and cutting-edge techniques ensuring
performance guarantee factors. By gathering researchers with
different backgrounds, a unified view and vocabulary can emerge
where the theoretical advancements may echo in different domains.
Summarizing, the EVOLVE conference focuses on challenging aspects
arising at the passage from theory to new paradigms and aims to
provide a unified view while raising questions related to
reliability, performance guarantees, and modeling. The extended
papers of the EVOLVE 2012 make a contribution to this goal.
|
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV - International Conference Held at Leiden University, July 10-13, 2013 (Paperback, 2013 ed.)
Michael Emmerich, Andre Deutz, Oliver Schuetze, Thomas Back, Emilia Tantar, …
|
R6,755
Discovery Miles 67 550
|
Ships in 10 - 15 working days
|
Numerical and computational methods are nowadays used in a wide
range of contexts in complex systems research, biology, physics,
and engineering. Over the last decades different methodological
schools have emerged with emphasis on different aspects of
computation, such as nature-inspired algorithms, set oriented
numerics, probabilistic systems and Monte Carlo methods. Due to the
use of different terminologies and emphasis on different aspects of
algorithmic performance there is a strong need for a more
integrated view and opportunities for cross-fertilization across
particular disciplines. These proceedings feature 20 original
publications from distinguished authors in the cross-section of
computational sciences, such as machine learning algorithms and
probabilistic models, complex networks and fitness landscape
analysis, set oriented numerics and cell mapping, evolutionary
multiobjective optimization, diversity-oriented search, and the
foundations of genetic programming algorithms. By presenting
cutting edge results with a strong focus on foundations and
integration aspects this work presents a stepping stone towards
efficient, reliable, and well-analyzed methods for complex systems
management and analysis.
|
You may like...
Midnights
Taylor Swift
CD
R418
Discovery Miles 4 180
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|