Proceedings of the First International Conference on Genetic Algorithms and their Applications

Author: John J. Grefenstette
Publisher: Psychology Press
ISBN: 1317760247
Format: PDF, Docs
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Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large number of possible solutions to the given problems. This book describes recent advances in the theory and practice of one such search method, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics, and are currently being applied to a variety of difficult problems in science, engineering, and artificial intelligence.

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Author: M Ali
Publisher: CRC Press
ISBN: 9789056996154
Format: PDF, Kindle
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The field of artificial intelligence has been maturing for a number of years and has inspired many researchers to produce innovative intelligent systems to demonstrate the capability of intelligent machines and their success in solving human problems. Only recently, however, have intelligent systems shown progress in demonstrating success in real-life applications, particularly in industrial environments. Many organizations have successfully used at least some limited aspects of intelligent research in their day-to-day operations. The objectives of this volume are to focus on these real-life applications and report a comprehensive view of the theoretical and applied aspects of intelligent systems technology. The most recent work in industrial, commercial, military, and academic environments is summarized, including 61 state-of-the-art reports on active research applied to real world problems.

Evolutionary Algorithms and Neural Networks

Author: Seyedali Mirjalili
Publisher: Springer
ISBN: 3319930257
Format: PDF
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This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials.

Soft Computing in Engineering Design and Manufacturing

Author: Pravir K. Chawdhry
Publisher: Springer Science & Business Media
ISBN: 9783540762140
Format: PDF, ePub, Mobi
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This book is a collection of some 47 research papers that were presented in June 1997 at the 2nd Online World Conference in soft computing. It covers the state-of-the-art techniques and applications of soft computing which will stimulate further advances towards the next generation of intelligent machines. The papers are organised into eight sections which cover areas such as genetic algorithms, engineering design, manufacturing and robotics. The book's main focus, though, is on the existence and interaction of fuzzy, neural and evolutionary computing techniques. Though fundamentally quite different from one another, these techniques can work incredibly well together when building intelligent systems. Soft Computing in Engineering Design and Manufacturing will be of interest to graduate students and researchers involved in soft computing. It will also be useful for those working in related industrial environments.

Genetic Algorithms Data Structures Evolution Programs

Author: Zbigniew Michalewicz
Publisher: Springer Science & Business Media
ISBN: 3662033151
Format: PDF, Mobi
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Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.

Genetic Systems Programming

Author: Ajith Abraham
Publisher: Springer
ISBN: 3540324984
Format: PDF, ePub, Docs
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Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.