Author : L J Fogel
Publisher : World Scientific
Page : 386 pages
File Size : 12,20 MB
Release : 1994-07-26
Category :
ISBN : 9814550671
The main topics covered at this conference include evolutionary programming, evolution strategies and genetic algorithms. Specific research articles investigate applications in control, image processing, neural networks, artificial life and theoretical properties of optimization algorithms based on inspirations from biology. This volume provides researchers and graduate students with an update of developments in the field.
Author : Vlahavas, Ioannis
Publisher : IGI Global
Page : 388 pages
File Size : 14,99 MB
Release : 2008-01-31
Category : Education
ISBN : 1599047071
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.
Author : Alex A. Freitas
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 15,11 MB
Release : 2013-11-11
Category : Computers
ISBN : 3662049236
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
Author : Changhe Li
Publisher : Springer Nature
Page : 369 pages
File Size : 40,82 MB
Release :
Category :
ISBN : 9819732867
Author : Rafik Aziz Aliev
Publisher : Springer
Page : 203 pages
File Size : 18,64 MB
Release : 2014-09-08
Category : Computers
ISBN : 3319090720
This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.
Author : Dipankar Dasgupta
Publisher : Springer Science & Business Media
Page : 561 pages
File Size : 47,23 MB
Release : 2013-06-29
Category : Computers
ISBN : 3662034239
Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.
Author : Kurosh Madani
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 30,21 MB
Release : 2011-04-08
Category : Computers
ISBN : 3642202055
The present book includes a set of selected extended papers from the first International Joint Conference on Computational Intelligence (IJCCI 2009), held in Madeira, Portugal, from 5 to 7 October 2009. The conference was composed by three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 231 submissions, from 35 countries, in all continents. After a double blind paper review performed by the Program Committee, only 21 submissions were accepted as full papers and thus selected for oral presentation, leading to a full paper acceptance ratio of 9%. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of IJCCI 2009. Commitment to high quality standards is a major concern of IJCCI that will be maintained in the next editions, considering not only the stringent paper acceptance ratios but also the quality of the program committee, keynote lectures, participation level and logistics.
Author : Robert G. Reynolds
Publisher : Springer
Page : 112 pages
File Size : 30,35 MB
Release : 2018-05-02
Category : Computers
ISBN : 3319741713
The author first introduces the basic framework for cultural algorithms and he then explains the social structure of a cultural system as a mechanism for the distribution of problem-solving information throughout a population. Three different models for social organizations are presented: the homogeneous (nuclear family), heterogeneous (expanded family), and subculture (descent groups) social models. The chapters that follow compare the learning capabilities of these social organizations relative to problems of varying complexity. The book concludes with a discussion of how the results can impact our understanding of social evolution.
Author : Ke Chen
Publisher : Springer Science & Business Media
Page : 1383 pages
File Size : 30,33 MB
Release : 2005-08-17
Category : Computers
ISBN : 354028320X
This book and its sister volumes, i.e., LNCS vols. 3610, 3611, and 3612, are the proceedings of the 1st International Conference on Natural Computation (ICNC 2005), jointly held with the 2nd International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2005, LNAI vols. 3613 and 3614) from 27 to 29 August 2005 in Changsha, Hunan, China.
Author : Kanchan Sarkar
Publisher : CRC Press
Page : 429 pages
File Size : 20,87 MB
Release : 2017-11-06
Category : Science
ISBN : 149875595X
This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background of soft computing and how to adapt soft computing techniques to problem solving in physical and chemical research. Soft computing methods have been little explored by researchers in physical and chemical sciences primarily because of the absence of books that bridge the gap between the traditional computing paradigm pursued by researchers in science and the new soft computing paradigm that has emerged in computer science. This book is the interface between these primary sources and researchers in physics and chemistry.
