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Author: Patricia Melin Publisher: CRC Press ISBN: 1420024523 Category : Mathematics Languages : en Pages : 262
Book Description
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la
Author: Patricia Melin Publisher: CRC Press ISBN: 1420024523 Category : Mathematics Languages : en Pages : 262
Book Description
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la
Author: Duc Pham Publisher: Springer Science & Business Media ISBN: 1447107217 Category : Computers Languages : en Pages : 308
Book Description
This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.
Author: Randy L. Haupt Publisher: John Wiley & Sons ISBN: 0471671754 Category : Technology & Engineering Languages : en Pages : 273
Book Description
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition
Author: Mrinal K. Sen Publisher: Cambridge University Press ISBN: 1107011906 Category : Mathematics Languages : en Pages : 303
Book Description
An up-to-date overview of global optimization methods used to formulate and interpret geophysical observations, for researchers, graduate students and professionals.
Author: Jerzy Mikulski Publisher: Springer Science & Business Media ISBN: 3642164714 Category : Computers Languages : en Pages : 482
Book Description
The idea of telematics appeared more than a decade ago and it is possible to define it, in a general and simple way, as a communication system for collecting, processing and distributing information. The transport services market is definitely the most important area for telematic applications. Transport-telematics issues constitute a field of knowledge of transport that integrates information technology and telecommunications in applications for managing and controlling traffic in transport systems, stimulating technical and organizational activities that ensure improved effectiveness and safe operation of such systems. Integrated and cooperating telematic applications constitute intelligent transport systems. The basis of such systems is to efficiently collect and process information and to manage its flow within the system. This enables supplying information from almost all areas of transport activities in real time. Intelligent transport––supported by a number of integrated telecommunications, IT measurement and control engineering solutions, and by appropriate tools and software––comprises telematic applications. They have an extensive range of use in many areas of transport, allowing the integration of the means and types of transport, including its infrastructure, business organization and management processes. This monograph is a collection of selected papers presented at the jubilee transport telematics conference, TST 2010, and is the result of the work of many scientists associated with this area of knowledge and who had spent years with the conference.
Author: Yuval Davidor Publisher: ISBN: 9780387584843 Category : Artificial intelligence Languages : en Pages : 0
Book Description
"This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994. With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated."--Publisher's Website.
Author: Omid Bozorg-Haddad Publisher: John Wiley & Sons ISBN: 1119386993 Category : Mathematics Languages : en Pages : 306
Book Description
A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.
Author: Xin-She Yang Publisher: Luniver Press ISBN: 1905986289 Category : Computers Languages : en Pages : 148
Book Description
Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.
Author: Patricia Melin
Author: Patricia Melin
Author: Lawrence Davis
Author: Duc Pham
Author: Randy L. Haupt
Author: Mrinal K. Sen
Author: Jerzy Mikulski
Author: Yuval Davidor
Author: Johann Dréo
Author: Omid Bozorg-Haddad
Author: Xin-She Yang