Intelligent Techniques For Planning

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Intelligent Techniques for Planning

Author : Ioannis Vlahavas,Dimitris Vrakas
Publisher : IGI Global
Page : 364 pages
File Size : 44,9 Mb
Release : 2005-01-01
Category : Computers
ISBN : 9781591404521

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Intelligent Techniques for Planning by Ioannis Vlahavas,Dimitris Vrakas Pdf

The Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the construction of graphs and the use of domain-independent heuristics with techniques from other areas of artificial intelligence. This book discuses, in detail, a number of state-of-the-art planning systems that utilize constraint satisfaction techniques in order to deal with time and resources, machine learning in order to utilize experience drawn from past runs, methods from knowledge systems for more expressive representation of knowledge and ideas from other areas such as Intelligent Agents. Apart from the thorough analysis and implementation details, each chapter of the book also provides extensive background information about its subject and presents and comments on similar approaches done in the past.

Intelligent Techniques in Engineering Management

Author : Cengiz Kahraman,Sezi Çevik Onar
Publisher : Springer
Page : 747 pages
File Size : 44,8 Mb
Release : 2015-05-05
Category : Technology & Engineering
ISBN : 9783319179063

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Intelligent Techniques in Engineering Management by Cengiz Kahraman,Sezi Çevik Onar Pdf

This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Author : Kulkarni, Siddhivinayak
Publisher : IGI Global
Page : 464 pages
File Size : 45,8 Mb
Release : 2012-06-30
Category : Computers
ISBN : 9781466618343

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Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques by Kulkarni, Siddhivinayak Pdf

Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Advanced Engineering Optimization Through Intelligent Techniques

Author : R. Venkata Rao,Jan Taler
Publisher : Springer
Page : 861 pages
File Size : 55,7 Mb
Release : 2019-07-09
Category : Technology & Engineering
ISBN : 9789811381966

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Advanced Engineering Optimization Through Intelligent Techniques by R. Venkata Rao,Jan Taler Pdf

This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.

Knowledge-Based Intelligent Techniques in Industry

Author : Lakhmi C. Jain,R.P. Johnson,Yoshiyasu Takefuji,Lofti A. Zadeh
Publisher : CRC Press
Page : 350 pages
File Size : 55,6 Mb
Release : 1998-09-28
Category : Computers
ISBN : 0849398037

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Knowledge-Based Intelligent Techniques in Industry by Lakhmi C. Jain,R.P. Johnson,Yoshiyasu Takefuji,Lofti A. Zadeh Pdf

The successful development and deployment of expert system tools spurred the initial momentum in developing and using intelligent techniques in industry. The brittleness of expert systems and the enormous effort involved in the development and maintenance of knowledge bases prompted researchers to seek friendlier approaches. Neural networks, fuzzy logic, and evolutionary computing tools added a new dimension to the quest for more intelligent tools to supplement the capabilities of expert systems. In one volume, Knowledge-Based Intelligent Techniques in Industry comprehensively brings together the more important developments in the use of intelligent techniques in solving industrial problems. The book's primary readership includes electrical engineers in industry as well as researchers working in computational intelligence research labs - outlining state-of-the-art techniques and cost-effective solutions. Knowledge-Based Intelligent Techniques in Industry singularly reflects the increasing study of computational intelligence techniques for designing and monitoring complex, less predictable electrical or mechanical systems.

Convergence of Big Data Technologies and Computational Intelligent Techniques

Author : Gupta, Govind P.
Publisher : IGI Global
Page : 256 pages
File Size : 51,7 Mb
Release : 2022-09-16
Category : Computers
ISBN : 9781668452660

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Convergence of Big Data Technologies and Computational Intelligent Techniques by Gupta, Govind P. Pdf

Advanced computational intelligence techniques have been designed and developed in recent years to cope with various big data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study. Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in big data and computational intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as deep learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Planning in Intelligent Systems

Author : Wout van Wezel,R. J. Jorna,Alexander M. Meystel
Publisher : John Wiley & Sons
Page : 592 pages
File Size : 41,6 Mb
Release : 2006-03-03
Category : Computers
ISBN : 9780471781257

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Planning in Intelligent Systems by Wout van Wezel,R. J. Jorna,Alexander M. Meystel Pdf

The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipateand plan is an essential feature of intelligent systems, whetherhuman or machine. It further assumes that better planning resultsin greater achievements. With these principles as a foundation,Planning in Intelligent Systems provides readers with the toolsneeded to better understand the process of planning and to becomebetter planners themselves. The text is divided into two parts: * Part One, "Theoretical," discusses the predominant schools ofthought in planning: psychology and cognitive science,organizational science, computer science, mathematics, artificialintelligence, and systems theory. In particular, the book examinescommonalities and differences among the goals, methods, andtechniques of these various approaches to planning. The result is abetter understanding of the process of planning through thecross-fertilization of ideas. Each chapter contains a shortintroduction that sets forth the interrelationships of that chapterto the main ideas featured in the other chapters. * Part Two, "Practical," features six chapters that center on acase study of The Netherlands Railways. Readers learn to applytheory to a real-world situation and discoverhow expanding theirrepertoire of planning methods can help solve seemingly intractableproblems. All chapters have been contributed by leading experts in thevarious schools of planning and carefully edited to ensure aconsistent high standard throughout. This book is designed to not only expand the range of planningtools used, but also to enable readers to use them moreeffectively. It challenges readers to look at new approaches andlearn from new schools of thought. Planning in Intelligent Systemsdelivers effective planning approaches for researchers, professors,students, and practitioners in artificial intelligence, computerscience, cognitive psychology, and mathematics, as well as industryplanners and managers.

Intelligent Planning

Author : Qiang Yang
Publisher : Springer Science & Business Media
Page : 263 pages
File Size : 48,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642606182

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Intelligent Planning by Qiang Yang Pdf

"The central fact is that we are planning agents." (M. Bratman, Intentions, Plans, and Practical Reasoning, 1987, p. 2) Recent arguments to the contrary notwithstanding, it seems to be the case that people-the best exemplars of general intelligence that we have to date do a lot of planning. It is therefore not surprising that modeling the planning process has always been a central part of the Artificial Intelligence enterprise. Reasonable behavior in complex environments requires the ability to consider what actions one should take, in order to achieve (some of) what one wants and that, in a nutshell, is what AI planning systems attempt to do. Indeed, the basic description of a plan generation algorithm has remained constant for nearly three decades: given a desciption of an initial state I, a goal state G, and a set of action types, find a sequence S of instantiated actions such that when S is executed instate I, G is guaranteed as a result. Working out the details of this class of algorithms, and making the elabora tions necessary for them to be effective in real environments, have proven to be bigger tasks than one might have imagined.

Manufacturing Optimization through Intelligent Techniques (2006)

Author : Rajendran Saravanan
Publisher : CRC Press
Page : 232 pages
File Size : 53,8 Mb
Release : 2017-11-22
Category : Technology & Engineering
ISBN : 9781351360777

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Manufacturing Optimization through Intelligent Techniques (2006) by Rajendran Saravanan Pdf

Effective utilization of equipment is critical to any manufacturing operation, especially with today's sophisticated, high-cost equipment and increased global competition. To meet these challenges in the manufacturing industry, you must understand and implement the myriad conventional and intelligent techniques for different types of manufacturing problems. Manufacturing Optimization Through Intelligent Techniques covers design of machine elements, integrated product development, machining tolerance allocation, selection of operating parameters for CNC machine tools, scheduling, part family formation, selection of robot coordinates, robot trajectory planning and both conventional and intelligent techniques, providing the tools to design and implement a suitable optimization technique. The author explores how to model optimization problems, select suitable techniques, develop the optimization algorithm and software, and implement the program. The book delineates five new techniques using examples taken from the literature for optimization problems in design, tolerance allocation; selection of machining parameters, integrated product development, scheduling, concurrent formation of machine groups and part families, selection of robot co-ordinates, robot trajectory planning and intelligent machining. All the manufacturing functions described have been successfully solved by Genetic Algorithm. Other intelligent techniques have been implemented only for solving certain types of problems: simulated annealing; design and scheduling, particle swarm optimization and ant colony optimization; tolerance allocation and tabu search; as well as machining parameters optimization. After reading this book, you will understand the different types of manufacturing optimization problems as well as the conventional and intelligent techniques suitable for solving them. You will also be able to develop and implement effective optimization procedures and algorithms for a wide variety of problems in design manufacturing.

Process Planning Optimization in Reconfigurable Manufacturing Systems

Author : Farayi Musharavati
Publisher : Universal-Publishers
Page : 200 pages
File Size : 41,6 Mb
Release : 2010-09
Category : Technology & Engineering
ISBN : 9781599423593

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Process Planning Optimization in Reconfigurable Manufacturing Systems by Farayi Musharavati Pdf

To date, reconfigurable manufacturing systems (RMSs) are among the most effective manufacturing styles that can offer manufacturers an alternative way of facing up to the challenges of continual changes in production requirements within the global, competitive and dynamic manufacturing environments. However, availability of optimal process plans that are suitable for reconfigurable manufacturing is one of the key enablers - yet to be fully unlocked - for realizing the full benefits of true RMSs. To unlock the process planning key and advance the state of art of reconfigurable manufacturing in the manufacturing industry, a number of questions need to be answered: (i) what decision making models and (ii) what computational techniques, can be applied to provide optimal manufacturing process planning solutions that are suitable for logical reconfiguration in manufacturing systems? To answer these questions, you must understand how to model reconfigurable manufacturing activities in an optimization perspective. You must also understand how to develop and select appropriate optimization techniques for solving process planning problems in manufacturing systems. To this end, Process Planning Optimization in Reconfigurable Manufacturing Systems covers: the design and operation of RMSs, optimal process planning modelling for reconfigurable manufacturing and the design and implementation of heuristic algorithm design techniques. The author explores how to: model optimization problems, select suitable optimization techniques, develop optimization algorithms, comparatively analyze the performance of candidate metaheuristics and how to investigate the effects of optimal process planning solutions on operating levels in manufacturing systems. This book delineates five alternative heuristic algorithm design techniques based on simulated annealing, genetic algorithms and the boltzmann machine that are tasked to solve manufacturing process planning optimization problems in RMSs. After reading this book, you will understand: how a reconfigurable manufacturing system works, the different types of manufacturing optimization problems associated with reconfigurable manufacturing, as well as the conventional and intelligent techniques that are suitable for solving process planning optimization problems. You will also be able to develop and implement effective optimization procedures and algorithms for a wide spectrum of optimization problems in design and reconfigurable manufacturing."

Handbook of Research on Novel Soft Computing Intelligent Algorithms

Author : Pandian Vasant
Publisher : IGI Global
Page : 1004 pages
File Size : 55,7 Mb
Release : 2013-08-31
Category : Technology & Engineering
ISBN : 9781466644519

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Handbook of Research on Novel Soft Computing Intelligent Algorithms by Pandian Vasant Pdf

"This book explores emerging technologies and best practices designed to effectively address concerns inherent in properly optimizing advanced systems, demonstrating applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies"--Provided by publisher.

PRICAI 2002: Trends in Artificial Intelligence

Author : Mitsuru Ishizuka,Abdul Satter
Publisher : Springer
Page : 628 pages
File Size : 53,9 Mb
Release : 2003-08-02
Category : Computers
ISBN : 9783540456834

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PRICAI 2002: Trends in Artificial Intelligence by Mitsuru Ishizuka,Abdul Satter Pdf

Intelligent and Fuzzy Techniques in Aviation 4.0

Author : Cengiz Kahraman,Serhat Aydın
Publisher : Springer Nature
Page : 545 pages
File Size : 47,8 Mb
Release : 2021-08-26
Category : Technology & Engineering
ISBN : 9783030750671

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Intelligent and Fuzzy Techniques in Aviation 4.0 by Cengiz Kahraman,Serhat Aydın Pdf

This book offers a comprehensive reference guide for the theory and practice of intelligent and fuzzy techniques in Aviation 4.0. It provides readers with the necessary intelligent and fuzzy tools for Aviation 4.0 when incomplete, vague, and imprecise information or insufficient data exist in hand, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including baggage services, catering services, check-in and boarding services, maintenance and cargo management, security, etc. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on Aviation 4.0. Moreover, by extending all the main aspects of Aviation 4.0 to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.

Knowledge Engineering Tools and Techniques for AI Planning

Author : Mauro Vallati,Diane Kitchin
Publisher : Springer Nature
Page : 277 pages
File Size : 48,7 Mb
Release : 2020-03-25
Category : Computers
ISBN : 9783030385613

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Knowledge Engineering Tools and Techniques for AI Planning by Mauro Vallati,Diane Kitchin Pdf

This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge. This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.

Intelligent Systems

Author : Cornelius T. Leondes
Publisher : CRC Press
Page : 2400 pages
File Size : 49,6 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781420040814

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Intelligent Systems by Cornelius T. Leondes Pdf

Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.