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This book comprises nine selected works on numerical and
computational methods for solving multiobjective optimization, game
theory, and machine learning problems. It provides extended
versions of selected papers from various fields of science such as
computer science, mathematics and engineering that were presented
at EVOLVE 2013 held in July 2013 at Leiden University in the
Netherlands. The internationally peer-reviewed papers include
original work on important topics in both theory and applications,
such as the role of diversity in optimization, statistical
approaches to combinatorial optimization, computational game
theory, and cell mapping techniques for numerical landscape
exploration. Applications focus on aspects including robustness,
handling multiple objectives, and complex search spaces in
engineering design and computational biology.
This volume comprises a selection of works presented at the
Numerical and Evolutionary Optimization (NEO) workshop held in
September 2015 in Tijuana, Mexico. The development of powerful
search and optimization techniques is of great importance in
today's world that 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 people from these and related fields to discuss,
compare and merge their complimentary perspectives in order to
develop fast and reliable hybrid methods that maximize the
strengths and minimize the weaknesses of the underlying paradigms.
Through this effort, we believe that the NEO can promote 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 us all such as health care, smart cities, big
data, among many others. The extended papers the NEO 2015 that
comprise this book make a contribution to this goal.
This book comprises selected research papers from the 2015 edition
of the EVOLVE conference, which was held on June 18-June 24, 2015
in Iasi, Romania. It presents the latest research on Probability,
Set Oriented Numerics, and Evolutionary Computation. The aim of the
EVOLVE conference was to provide a bridge between probability, set
oriented numerics and evolutionary computation and to bring
together experts from these disciplines. The broad focus of the
EVOLVE conference made it possible to discuss the connection
between these related fields of study computational science. The
selected papers published in the proceedings book were peer
reviewed by an international committee of reviewers (at least three
reviews per paper) and were revised and enhanced by the authors
after the conference. The contributions are categorized into five
major parts, which are: Multicriteria and Set-Oriented
Optimization; Evolution in ICT Security; Computational Game Theory;
Theory on Evolutionary Computation; Applications of Evolutionary
Algorithms. The 2015 edition shows a major progress in the aim to
bring disciplines together and the research on a number of topics
that have been discussed in previous editions of the conference
matured over time and methods have found their ways in
applications. In this sense the book can be considered an important
milestone in bridging and thereby advancing state-of-the-art
computational methods.
This book comprises nine selected works on numerical and
computational methods for solving multiobjective optimization, game
theory, and machine learning problems. It provides extended
versions of selected papers from various fields of science such as
computer science, mathematics and engineering that were presented
at EVOLVE 2013 held in July 2013 at Leiden University in the
Netherlands. The internationally peer-reviewed papers include
original work on important topics in both theory and applications,
such as the role of diversity in optimization, statistical
approaches to combinatorial optimization, computational game
theory, and cell mapping techniques for numerical landscape
exploration. Applications focus on aspects including robustness,
handling multiple objectives, and complex search spaces in
engineering design and computational biology.
This volume comprises a selection of works presented at the
Numerical and Evolutionary Optimization (NEO) workshop held in
September 2015 in Tijuana, Mexico. The development of powerful
search and optimization techniques is of great importance in
today's world that 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 people from these and related fields to discuss,
compare and merge their complimentary perspectives in order to
develop fast and reliable hybrid methods that maximize the
strengths and minimize the weaknesses of the underlying paradigms.
Through this effort, we believe that the NEO can promote 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 us all such as health care, smart cities, big
data, among many others. The extended papers the NEO 2015 that
comprise this book 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.
The aim of this book is to provide a strong theoretical support for
understanding and analyzing the behavior of evolutionary
algorithms, as well as for creating a bridge between probability,
set-oriented numerics and evolutionary computation. The volume
encloses a collection of contributions that were presented at the
EVOLVE 2011 international workshop, held in Luxembourg, May 25-27,
2011, coming from invited speakers and also from selected regular
submissions. The aim of EVOLVE is to unify the perspectives offered
by probability, set oriented numerics and evolutionary computation.
EVOLVE focuses on challenging aspects that arise at the passage
from theory to new paradigms and practice, elaborating on the
foundations of evolutionary algorithms and theory-inspired methods
merged with cutting-edge techniques that ensure performance
guarantee factors. EVOLVE is also intended to foster a growing
interest for robust and efficient methods with a sound theoretical
background. The chapters enclose challenging theoretical findings,
concrete optimization problems as well as new perspectives. By
gathering contributions from researchers with different
backgrounds, the book is expected to set the basis for a unified
view and vocabulary where theoretical advancements may echo in
different domains.
This volume encloses research articles that were presented at
the EVOLVE 2014 International Conference in Beijing, China, July 1
4, 2014. The book gathers contributions that emerged from the
conference tracks, ranging from probability to set oriented
numerics and evolutionary computation; all complemented by the
bridging purpose of the conference, e.g. Complex Networks and
Landscape Analysis, or by the more application oriented
perspective. The novelty of the volume, when considering the EVOLVE
series, comes from targeting also the practitioner s view. This is
supported by the Machine Learning Applied to Networks and Practical
Aspects of Evolutionary Algorithms tracks, providing surveys on new
application areas, as in the networking area and useful insights in
the development of evolutionary techniques, from a practitioner s
perspective. Complementary to these directions, the conference
tracks supporting the volume, follow on the individual advancements
of the subareas constituting the scope of the conference, through
the Computational Game Theory, Local Search and Optimization,
Genetic Programming, Evolutionary Multi-objective optimization
tracks."
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.
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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, …
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R6,755
Discovery Miles 67 550
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Ships in 10 - 15 working days
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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.
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Artificial Evolution - 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers (Paperback, 2012 ed.)
Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarche, Evelyne Lutton, …
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R1,990
Discovery Miles 19 900
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Ships in 10 - 15 working days
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This book constitutes selected best papers from the 10th
International Conference on Artificial Evolution, EA 2011, held in
Angers, France, in October 2011. Initially, 33 full papers and 10
post papers were carefully reviewed and selected from 64
submissions. This book presents the 19 best papers selected from
these contributions. The papers are organized in topical sections
on ant colony optimization; multi-objective optimization; analysis;
implementation and robotics; combinatorial optimization; learning
and parameter tuning; new nature inspired models; probabilistic
algorithms; theory and evolutionary search; and applications.
The aim of this book is to provide a strong theoretical support for
understanding and analyzing the behavior of evolutionary
algorithms, as well as for creating a bridge between probability,
set-oriented numerics and evolutionary computation. The volume
encloses a collection of contributions that were presented at the
EVOLVE 2011 international workshop, held in Luxembourg, May 25-27,
2011, coming from invited speakers and also from selected regular
submissions. The aim of EVOLVE is to unify the perspectives offered
by probability, set oriented numerics and evolutionary computation.
EVOLVE focuses on challenging aspects that arise at the passage
from theory to new paradigms and practice, elaborating on the
foundations of evolutionary algorithms and theory-inspired methods
merged with cutting-edge techniques that ensure performance
guarantee factors. EVOLVE is also intended to foster a growing
interest for robust and efficient methods with a sound theoretical
background. The chapters enclose challenging theoretical findings,
concrete optimization problems as well as new perspectives. By
gathering contributions from researchers with different
backgrounds, the book is expected to set the basis for a unified
view and vocabulary where theoretical advancements may echo in
different domains.
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Artificial Evolution - 14th International Conference, Evolution Artificielle, EA 2019, Mulhouse, France, October 29-30, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)
Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarche, …
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-conference
proceedings of the 14th International Conference on Artificial
Evolution, EA 2019, held in Mulhouse, France, in October 2019. The
16 revised papers were carefully reviewed and selected from 33
submissions. The papers cover a wide range of topics in the field
of artificial evolution, such as evolutionary computation,
evolutionary optimization, co-evolution, artificial life,
population dynamics, theory, algorithmic and modeling,
implementations, application of evolutionary paradigms to the real
world (industry, biosciences...), other biologically-inspired
paradigms (swarm, artificial ants, artificial immune systems,
cultural algorithms...), memetic algorithms, multi-objective
optimization, constraint handling, parallel algorithms, dynamic
optimization, machine learning and hybridization with other soft
computing techniques.
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Artificial Evolution - 13th International Conference, Evolution Artificielle, EA 2017, Paris, France, October 25-27, 2017, Revised Selected Papers (Paperback, 1st ed. 2018)
Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarche, Marc Schoenauer
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-conference
proceedings of the 13th International Conference on Artificial
Evolution, EA 2017, held in Paris, France, in October 2017. The 16
revised papers were carefully reviewed and selected from 33
submissions. The papers cover a wide range of topics in the field
of artificial evolution, such as evolutionary computation,
evolutionary optimization, co-evolution, artificial life,
population dynamics, theory, algorithmics and modeling,
implementations, application of evolutionary paradigms to the real
world (industry, biosciences, ...), other biologically-inspired
paradigms (swarm, artificial ants, artificial immune systems,
cultural algorithms...), memetic algorithms, multi-objective
optimisation, constraint handling, parallel algorithms,, dynamic
optimization, machine learning and hybridization with other soft
computing techniques.
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Artificial Evolution - 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers (Paperback, 1st ed. 2016)
Stephane Bonnevay, Pierrick Legrand, Nicolas Monmarche, Evelyne Lutton, Marc Schoenauer
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R2,319
Discovery Miles 23 190
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-conference
proceedings of the 12th International Conference on Artificial
Evolution, EA 2015, held in Lyon, France, in October 2015. The 18
revised papers were carefully reviewed and selected from 31
submissions. The focus of the conference is on following topics:
Evolutionary Computation, Evolutionary Optimization, Co-evolution,
Artificial Life, Population Dynamics, Theory, Algorithmics and
Modeling, Implementations, Application of Evolutionary Paradigms to
the Real World, Dynamic Optimization, Machine Learning and
hybridization with other soft computing techniques.
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Artificial Evolution - 11th International Conference, Evolution Artificielle, EA 2013, Bordeaux, France, October 21-23, 2013. Revised Selected Papers (Paperback, 2014 ed.)
Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarche, Evelyne Lutton, …
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R2,405
Discovery Miles 24 050
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 11th
International Conference on Artificial Evolution, EA 2013, held in
Bordeaux, France, in October 2013. The 20 revised papers were
carefully reviewed and selected from 39 submissions. The papers are
focused to theory, ant colony optimization, applications,
combinatorial and discrete optimization, memetic algorithms,
genetic programming, interactive evolution, parallel evolutionary
algorithms, and swarm intelligence.
This book comprises a selection of papers from 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
computing, 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 is intended 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 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 papers of the EVOLVE 2012 make a contribution to this
goal.
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