A Comparison of Optimization Heuristics for the Data Mapping Problem

A Comparison of Optimization Heuristics for the Data Mapping Problem PDF Author: Nikos P. Chrisochoides
Publisher:
ISBN:
Category : Differential equations, Partial
Languages : en
Pages : 36

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A Comparison of Optimization Heuristics for the Data Mapping Problem

A Comparison of Optimization Heuristics for the Data Mapping Problem PDF Author: Nikos P. Chrisochoides
Publisher:
ISBN:
Category : Differential equations, Partial
Languages : en
Pages : 36

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IEEE International Conference on Electronics, Circuits and Systems

IEEE International Conference on Electronics, Circuits and Systems PDF Author:
Publisher:
ISBN:
Category : Electric filters, Digital
Languages : en
Pages : 444

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Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 518

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Artificial Neural Nets and Genetic Algorithms

Artificial Neural Nets and Genetic Algorithms PDF Author: Rudolf F. Albrecht
Publisher: Springer Science & Business Media
ISBN: 370917533X
Category : Computers
Languages : en
Pages : 752

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Book Description
Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.

Computational Science - ICCS 2007

Computational Science - ICCS 2007 PDF Author: Yong Shi
Publisher: Springer Science & Business Media
ISBN: 3540725830
Category : Computers
Languages : en
Pages : 1310

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Book Description
Annotation The four-volume set LNCS 4487-4490 constitutes the refereed proceedings of the 7th International Conference on Computational Science, ICCS 2007, held in Beijing, China in May 2007. More than 2400 submissions were made to the main conference and its 35 topical workshops. The 80 revised full papers and 11 revised short papers of the main track were carefully reviewed and selected from 360 submissions and are presented together with 624 accepted workshop papers in four volumes. According to the ICCS 2007 theme "Advancing Science and Society through Computation" the papers cover a large volume of topics in computational science and related areas, from multiscale physics, to wireless networks, and from graph theory to tools for program development. The papers are arranged in topical sections on efficient data management, parallel monte carlo algorithms, simulation of multiphysics multiscale systems, dynamic data driven application systems, computer graphics and geometric modeling, computer algebra systems, computational chemistry, computational approaches and techniques in bioinformatics, computational finance and business intelligence, geocomputation, high-level parallel programming, networks theory and applications, collective intelligence for semantic and knowledge grid, collaborative and cooperative environments, tools for program development and analysis in CS, intelligent agents in computing systems, CS in software engineering, computational linguistics in HCI, internet computing in science and engineering, workflow systems in e-science, graph theoretic algorithms and applications in cs, teaching CS, high performance data mining, mining text, semi-structured, Web, or multimedia data, computational methods in energy economics, risk analysis, advances in computational geomechanics and geophysics, meta-synthesis and complex systems, scientific computing in electronics engineering, wireless and mobile systems, high performance networked media and services, evolution toward next generation internet, real time systems and adaptive applications, evolutionary algorithms and evolvable systems.

Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems PDF Author: Essam Halim Houssein
Publisher: Springer Nature
ISBN: 3030990796
Category : Technology & Engineering
Languages : en
Pages : 501

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Book Description
This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material can be helpful for research from the evolutionary computation, artificial intelligence communities.

Journal on Data Semantics XIV

Journal on Data Semantics XIV PDF Author: Stefano Spaccapietra
Publisher: Springer Science & Business Media
ISBN: 3642105610
Category : Computers
Languages : en
Pages : 172

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Book Description
The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence. Volume XIV results from a rigorous selection among 21 full papers received in response to a call for contributions issued in September 2008.

Conference Proceedings

Conference Proceedings PDF Author:
Publisher:
ISBN:
Category : Supercomputers
Languages : en
Pages : 500

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Security with Intelligent Computing and Big-data Services

Security with Intelligent Computing and Big-data Services PDF Author: Ching-Nung Yang
Publisher: Springer
ISBN: 3030169464
Category : Technology & Engineering
Languages : en
Pages : 933

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Book Description
This book presents the proceedings of the 2018 International Conference on Security with Intelligent Computing and Big-data Services (SICBS 2018). With the proliferation of security with intelligent computing and big-data services, the issues of information security, big data, intelligent computing, blockchain technology, and network security have attracted a growing number of researchers. Discussing topics in areas including blockchain technology and applications; multimedia security; information processing; network, cloud and IoT security; cryptography and cryptosystems; as well as learning and intelligent computing and information hiding, the book provides a platform for researchers, engineers, academics and industrial professionals from around the globe to present their work in security-related areas. It not only introduces novel and interesting ideas, but also stimulates discussions and inspires new ideas.

Mendel 2015

Mendel 2015 PDF Author: Radek MatouĊĦek
Publisher: Springer
ISBN: 3319198246
Category : Technology & Engineering
Languages : en
Pages : 380

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Book Description
This book is a collection of selected accepted papers of Mendel conference that has been held in Brno, Czech Republic in June 2015. The book contents three chapters which represent recent advances in soft computing including intelligent image processing and bio-inspired robotics.: Chapter 1: Evolutionary Computing, and Swarm intelligence, Chapter 2: Neural Networks, Self-organization, and Machine Learning, and Chapter3: Intelligent Image Processing, and Bio-inspired Robotics. The Mendel conference was established in 1995, and it carries the name of the scientist and Augustinian priest Gregor J. Mendel who discovered the famous Laws of Heredity. In 2015 we are commemorating 150 years since Mendel's lectures, which he presented in Brno on February and March 1865. The main aim of the conference was to create a periodical possibility for students, academics and researchers to exchange their ideas and novel research methods.