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Modelling Foundations and Applications

6th European Conference, ECMFA 2010, Paris, France, June 15-18, 2010, Proceedings

Domain Specific Modeling Languages (DSML) are more and more used to
handle high level concepts, and thus bring complex software development under
control. The increasingly recurring definition of new languages raises the
problem of the definition of support tools such as editor, simulator, compiler, etc.
In this paper we propose generative technologies that have been designed to
ease the development of model animation tools inside the TopCased platform.
These tools rely on ...

U.S. Navy SEAL Guide to Fitness and Nutrition

Covers basics of physical well-being, advice for challenges encountered in extreme conditions and mission-related activities.

Lie «) on back with hands % CŞ. clasped behind head. & CŞf * Legs can be bent
at knees (feet on deck), with one leg crossed over knee of opposite £y. leg or
bent with knees toward chest (feet ele- * vated from deck). Slowly lift and twist
torso bringing one shoulder toward knee of opposite leg. Engaging -. obliques
requires rotation to start immediately at beginning of exercise, not at top. Return
to starting position. Perform exercise by turning torso to both left and right knees.
A 2-count ...

Instant UML

Provides an introduction to the object modeling approach and instructs users, especially C++++, VB, and Java programmers, on the uses and notations of UML, focusing on user requirements, analysis, and definition. Original. (Intermediate)

Provides an introduction to the object modeling approach and instructs users, especially C++++, VB, and Java programmers, on the uses and notations of UML, focusing on user requirements, analysis, and definition. Original. (Intermediate)

Logic Program Synthesis from Incomplete Information

Program synthesis is a solution to the software crisis. If we had a program that develops correct programs from specifications, then program validation and maintenance would disappear from the software life-cycle, and one could focus on the more creative tasks of specification elaboration, validation, and maintenance, because replay of program development would be less costly. This monograph describes a novel approach to Inductive Logic Programming (ILP), which cross-fertilizes logic programming and machine learning. Aiming at the synthesis of recursive logic programs only, and this from incomplete information, we take a software engineering approach that is more appropriate than a pure artificial intelligence approach. This book is suitable as a secondary text for graduate level courses in software engineering and artificial intelligence, and as a reference for practitioners of program synthesis.

Logic Algorithm 4-1: Logic Algorithm 4-2. Logic Algorithm 4-3: Logic Algorithm 5-
1: Logic Algorithm 5-2. Logic Algorithm 5-3: Logic Algorithm 5-4: Logic Algorithm
5-5: Logic Algorithm 5-6. Logic Algorithm 5-7: Logic Algorithm 5-8: Logic
Algorithm 5-9: Logic Algorithm 5-10: Logic Algorithm 5-11: Logic Algorithm 5-12:
Logic Algorithm 5-13: Logic Algorithm 5-14: Logic Algorithm 5-15: Logic
Algorithm 5-16: Logic Algorithm 5-17: Logic Algorithm 5-18: Logic Algorithm 5-19:
Logic Algorithm ...

EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation

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.

The aim of the EVOLVE workshop, the originating point of this book, is to build a
bridge between probability, statistics, set oriented numerics and evolutionary
computing, as to identify new common and challenging research aspects. The
event ...

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

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.

The massive use and large applicability spectrum of evolutionary algorithms for
real-life applications determined the need of establishing solid theoretical
grounds. Only to offer one example, one may consider mathematical objects that
are ...

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III

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 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 ...

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

International Conference Held at Leiden University, July 10-13, 2013

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.

The overarching goal of the EVOLVE international conference series is to build a
bridge between probability, statistics, set oriented numerics and evolutionary
computing, as to identify new common and challenging research aspects and
solve ...