Computational Intelligence And Modern Heuristics

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Computational Intelligence and Modern Heuristics

Brygida Cullen
Computational Intelligence and Modern Heuristics Book PDF

Author : Brygida Cullen
Publisher : Unknown
Page : 0 pages
File Size : 40,5 Mb
Release : 2016-04
Category : Artificial intelligence
ISBN : 1681171996

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Computational Intelligence and Modern Heuristics by Brygida Cullen Pdf

A heuristic technique, often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision. In computer science, artificial intelligence, and mathematical optimization, a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution. This is achieved by trading optimality, completeness, accuracy, or precision for speed. In a way, it can be considered a shortcut. A heuristic function, also called simply a heuristic, is a function that ranks alternatives in search algorithms at each branching step based on available information to decide which branch to follow. The objective of a heuristic is to produce a solution in a reasonable time frame that is good enough for solving the problem at hand. This solution may not be the best of all the actual solutions to this problem, or it may simply approximate the exact solution. But it is still valuable because finding it does not require a prohibitively long time. Heuristics may produce results by themselves, or they may be used in conjunction with optimization algorithms to improve their efficiency. Results about NP-hardness in theoretical computer science make heuristics the only viable option for a variety of complex optimization problems that need to be routinely solved in real-world applications. This book entitled Computational Intelligence and Modern Heuristics highlights on computational models using heuristic and meta-heuristic approaches.

Design of Modern Heuristics

Franz Rothlauf
Design of Modern Heuristics Book PDF

Author : Franz Rothlauf
Publisher : Springer Science & Business Media
Page : 267 pages
File Size : 53,9 Mb
Release : 2011-07-17
Category : Computers
ISBN : 9783540729624

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Design of Modern Heuristics by Franz Rothlauf Pdf

Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.

Computational Intelligence

Christine L. Mumford
Computational Intelligence Book PDF

Author : Christine L. Mumford
Publisher : Springer Science & Business Media
Page : 726 pages
File Size : 55,5 Mb
Release : 2009-07-21
Category : Computers
ISBN : 9783642017995

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Computational Intelligence by Christine L. Mumford Pdf

This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian belief networks, multi-agent systems, case-based reasoning and so on. Generally, the term has a similar meaning to the well-known phrase “Arti?cial Intelligence” (AI), although CI is p- ceived moreas a “bottom up” approachfrom which intelligent behaviour can emerge,whereasAItendstobestudiedfromthe“topdown”,andderivefrom pondering upon the “meaning of intelligence”. (These and other key issues will be discussed in more detail in Chapter 1.

Multiobjective Heuristic Search

Pallab Dasgupta,P. P. Chakrabarti,S. C. DeSarkar
Multiobjective Heuristic Search Book PDF

Author : Pallab Dasgupta,P. P. Chakrabarti,S. C. DeSarkar
Publisher : Springer Science & Business Media
Page : 141 pages
File Size : 55,9 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783322868534

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Multiobjective Heuristic Search by Pallab Dasgupta,P. P. Chakrabarti,S. C. DeSarkar Pdf

Solutions to most real-world optimization problems involve a trade-off between multiple conflicting and non-commensurate objectives. Some of the most challenging ones are area-delay trade-off in VLSI synthesis and design space exploration, time-space trade-off in computation, and multi-strategy games. Conventional search techniques are not equipped to handle the partial order state spaces of multiobjective problems since they inherently assume a single scalar objective function. Multiobjective heuristic search techniques have been developed to specifically address multicriteria combinatorial optimization problems. This text describes the multiobjective search model and develops the theoretical foundations of the subject, including complexity results . The fundamental algorithms for three major problem formulation schemes, namely state-space formulations, problem-reduction formulations, and game-tree formulations are developed with the support of illustrative examples. Applications of multiobjective search techniques to synthesis problems in VLSI, and operations research are considered. This text provides a complete picture on contemporary research on multiobjective search, most of which is the contribution of the authors.

Modern Heuristic Search Methods

V. J. Rayward-Smith
Modern Heuristic Search Methods Book PDF

Author : V. J. Rayward-Smith
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 53,9 Mb
Release : 1996-12-23
Category : Computers
ISBN : UOM:39015040654199

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Modern Heuristic Search Methods by V. J. Rayward-Smith Pdf

Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and commerce. The introductory chapter provides a clear overview of the basic techniques and useful pointers to further reading and to current research. The second section of the book covers some of the most recent and exciting developments of the basic techniques, with suggestions not only for extending and improving these but also for hybridizing and incorporating automatic adaption. The third section contains a number of case studies, surveys and comparative studies which span a wide range of application areas ranging from the classic Steiner tree problem to more practical problems arising in telecommunications and data analysis. The coverage of the latest research and the illustrative case studies will ensure that the book is invaluable for researchers and professionals with an interest in heuristic search methods.

Bioinspired Heuristics for Optimization

El-Ghazali Talbi,Amir Nakib
Bioinspired Heuristics for Optimization Book PDF

Author : El-Ghazali Talbi,Amir Nakib
Publisher : Springer
Page : 314 pages
File Size : 40,6 Mb
Release : 2018-08-18
Category : Technology & Engineering
ISBN : 9783319951041

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Bioinspired Heuristics for Optimization by El-Ghazali Talbi,Amir Nakib Pdf

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

Artificial Intelligence, Evolutionary Computing and Metaheuristics

Xin-She Yang
Artificial Intelligence Evolutionary Computing and Metaheuristics Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 796 pages
File Size : 55,7 Mb
Release : 2012-07-27
Category : Technology & Engineering
ISBN : 9783642296949

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Artificial Intelligence, Evolutionary Computing and Metaheuristics by Xin-She Yang Pdf

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.

Computational Intelligence for Optimization

Nirwan Ansari,Edwin Hou
Computational Intelligence for Optimization Book PDF

Author : Nirwan Ansari,Edwin Hou
Publisher : Springer
Page : 0 pages
File Size : 40,9 Mb
Release : 2012-11-05
Category : Computers
ISBN : 1461379075

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Computational Intelligence for Optimization by Nirwan Ansari,Edwin Hou Pdf

The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal ing, stochastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa tion, and practical applications. The text is suitable for a first-year graduate course in electrical and computer engineering, computer science, and opera tional research programs. It may also be used as a reference for practicing engineers, scientists, operational researchers, and other specialists. This book is an outgrowth of a couple of special topic courses that we have been teaching for the past five years. In addition, it includes many results from our inter disciplinary research on the topic. The aforementioned advanced optimization techniques have received increasing attention over the last decade, but relatively few books have been produced.

Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends

Yin, Peng-Yeng
Modeling Analysis and Applications in Metaheuristic Computing Advancements and Trends Book PDF

Author : Yin, Peng-Yeng
Publisher : IGI Global
Page : 446 pages
File Size : 54,7 Mb
Release : 2012-03-31
Category : Computers
ISBN : 9781466602717

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Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends by Yin, Peng-Yeng Pdf

"This book is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing, providing readers with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization"--Provided by publisher.

Tuning Metaheuristics

Mauro Birattari
Tuning Metaheuristics Book PDF

Author : Mauro Birattari
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 53,8 Mb
Release : 2009-04-08
Category : Mathematics
ISBN : 9783642004827

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Tuning Metaheuristics by Mauro Birattari Pdf

This book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.

Computational Intelligence for Decision Support

Zhengxin Chen
Computational Intelligence for Decision Support Book PDF

Author : Zhengxin Chen
Publisher : CRC Press
Page : 408 pages
File Size : 43,9 Mb
Release : 1999-11-24
Category : Computers
ISBN : 1420049143

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Computational Intelligence for Decision Support by Zhengxin Chen Pdf

Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making. Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest. The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.

Computational Intelligence

Russell C. Eberhart,Yuhui Shi
Computational Intelligence Book PDF

Author : Russell C. Eberhart,Yuhui Shi
Publisher : Elsevier
Page : 496 pages
File Size : 52,5 Mb
Release : 2011-04-18
Category : Computers
ISBN : 9780080553832

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Computational Intelligence by Russell C. Eberhart,Yuhui Shi Pdf

Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems. Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation Details the metrics and analytical tools needed to assess the performance of computational intelligence tools Concludes with a series of case studies that illustrate a wide range of successful applications Presents code examples in C and C++ Provides, at the end of each chapter, review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study

Engineering Applications of Modern Metaheuristics

Taymaz Akan,Ahmed M. Anter,A. Şima Etaner-Uyar,Diego Oliva
Engineering Applications of Modern Metaheuristics Book PDF

Author : Taymaz Akan,Ahmed M. Anter,A. Şima Etaner-Uyar,Diego Oliva
Publisher : Springer Nature
Page : 209 pages
File Size : 49,8 Mb
Release : 2022-12-04
Category : Technology & Engineering
ISBN : 9783031168321

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Engineering Applications of Modern Metaheuristics by Taymaz Akan,Ahmed M. Anter,A. Şima Etaner-Uyar,Diego Oliva Pdf

This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.

Handbook of AI-based Metaheuristics

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 584 pages
File Size : 49,7 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434255

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Modern Heuristic Techniques for Combinatorial Problems

Colin R. Reeves
Modern Heuristic Techniques for Combinatorial Problems Book PDF

Author : Colin R. Reeves
Publisher : Unknown
Page : 0 pages
File Size : 45,8 Mb
Release : 1995
Category : Artificial intelligence
ISBN : 0077092392

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Modern Heuristic Techniques for Combinatorial Problems by Colin R. Reeves Pdf

Experienced researchers describe the latest types of heuristic procedures. Artificial networks, simulated annealing, Tabu search, Lagrangean relaxation, genetic algorithms and evaluation of heuristics are among the subjects discussed.