Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
Author: L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publsiher: Springer
Total Pages: 862
Release: 2014-11-01
ISBN: 8132221265
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems Book Excerpt:

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Evolutionary Computation

Evolutionary Computation
Author: David B. Fogel
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2006-01-03
ISBN: 0471749206
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Evolutionary Computation Book Excerpt:

This Third Edition provides the latest tools and techniques thatenable computers to learn The Third Edition of this internationally acclaimed publicationprovides the latest theory and techniques for using simulatedevolution to achieve machine intelligence. As a leading advocatefor evolutionary computation, the author has successfullychallenged the traditional notion of artificial intelligence, whichessentially programs human knowledge fact by fact, but does nothave the capacity to learn or adapt as evolutionary computationdoes. Readers gain an understanding of the history of evolutionarycomputation, which provides a foundation for the author's thoroughpresentation of the latest theories shaping current research.Balancing theory with practice, the author provides readers withthe skills they need to apply evolutionary algorithms that cansolve many of today's intransigent problems by adapting to newchallenges and learning from experience. Several examples areprovided that demonstrate how these evolutionary algorithms learnto solve problems. In particular, the author provides a detailedexample of how an algorithm is used to evolve strategies forplaying chess and checkers. As readers progress through the publication, they gain anincreasing appreciation and understanding of the relationshipbetween learning and intelligence. Readers familiar with theprevious editions will discover much new and revised material thatbrings the publication thoroughly up to date with the latestresearch, including the latest theories and empirical properties ofevolutionary computation. The Third Edition also features new knowledge-building aids.Readers will find a host of new and revised examples. New questionsat the end of each chapter enable readers to test their knowledge.Intriguing assignments that prepare readers to manage challenges inindustry and research have been added to the end of each chapter aswell. This is a must-have reference for professionals in computer andelectrical engineering; it provides them with the very latesttechniques and applications in machine intelligence. With itsquestion sets and assignments, the publication is also recommendedas a graduate-level textbook.

New Achievements in Evolutionary Computation

New Achievements in Evolutionary Computation
Author: Peter Korosec
Publsiher: BoD – Books on Demand
Total Pages: 328
Release: 2010-02-01
ISBN: 9533070536
Category: Computers
Language: EN, FR, DE, ES & NL

New Achievements in Evolutionary Computation Book Excerpt:

Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development
Author: Sandeep Kumar,Anand Nayyar,Anand Paul
Publsiher: CRC Press
Total Pages: 146
Release: 2019-12-05
ISBN: 1000727033
Category: Computers
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development Book Excerpt:

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Evolutionary Algorithms in Management Applications

Evolutionary Algorithms in Management Applications
Author: Jörg Biethahn,Volker Nissen
Publsiher: Springer Science & Business Media
Total Pages: 379
Release: 2012-12-06
ISBN: 3642612172
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Evolutionary Algorithms in Management Applications Book Excerpt:

Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/mutation, and the selection of individuals based on fitness. The most well-known class of EA are Genetic Algorithms (GA), which have received much attention not only in the scientific community lately. Other variants of EA, in particular Genetic Programming, Evolution Strategies, and Evolutionary Programming are less popular, though very powerful too. Traditionally, most practical applications of EA have appeared in the technical sector. Management problems, for a long time, have been a rather neglected field of EA-research. This is surprising, since the great potential of evolutionary approaches for the business and economics domain was recognised in pioneering publications quite a while ago. John Holland, for instance, in his seminal book Adaptation in Natural and Artificial Systems (The University of Michigan Press, 1975) identified economics as one of the prime targets for a theory of adaptation, as formalised in his reproductive plans (later called Genetic Algorithms).

Artificial Intelligence Evolutionary Computing and Metaheuristics

Artificial Intelligence  Evolutionary Computing and Metaheuristics
Author: Xin-She Yang
Publsiher: Springer
Total Pages: 796
Release: 2012-07-27
ISBN: 3642296947
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence Evolutionary Computing and Metaheuristics Book Excerpt:

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.

Frontiers of Evolutionary Computation

Frontiers of Evolutionary Computation
Author: Anil Menon
Publsiher: Springer Science & Business Media
Total Pages: 271
Release: 2006-04-11
ISBN: 1402077823
Category: Computers
Language: EN, FR, DE, ES & NL

Frontiers of Evolutionary Computation Book Excerpt:

Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (Ee. They explore such topics as the role of building blocks, the balancing of exploration with exploitation, the modeling of EC algorithms, the connection with optimization theory and the role of EC as a meta-heuristic method, to name a few. The articles feature a mixture of informal discussion interspersed with formal statements, thus providing the reader an opportunity to observe a wide range of EC problems from the investigative perspective of world-renowned researchers. These prominent researchers include: Heinz M]hlenbein, Kenneth De Jong, Carlos Cotta and Pablo Moscato, Lee Altenberg, Gary A. Kochenberger, Fred Glover, Bahram Alidaee and Cesar Rego, William G. Macready, Christopher R. Stephens and Riccardo Poli, Lothar M. Schmitt, John R. Koza, Matthew J. Street and Martin A. Keane, Vivek Balaraman, Wolfgang Banzhaf and Julian Miller.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Recent Advances in Swarm Intelligence and Evolutionary Computation
Author: Xin-She Yang
Publsiher: Springer
Total Pages: 300
Release: 2014-12-27
ISBN: 331913826X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Recent Advances in Swarm Intelligence and Evolutionary Computation Book Excerpt:

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.

Evolutionary Algorithms for Solving Multi Objective Problems

Evolutionary Algorithms for Solving Multi Objective Problems
Author: Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publsiher: Springer Science & Business Media
Total Pages: 800
Release: 2007-09-18
ISBN: 0387332545
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Algorithms for Solving Multi Objective Problems Book Excerpt:

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

Evolutionary Computation

Evolutionary Computation
Author: David B. Fogel
Publsiher: Wiley-IEEE Press
Total Pages: 304
Release: 2000
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Computation Book Excerpt:

"In-depth and updated, Evolutionary Computation shows you how to use simulated evolution to achieve machine intelligence. You will gain current insights into the history of evolutionary computation and the newest theories shaping research. Fogel carefully reviews the "no free lunch theorem" and discusses new theoretical findings that challenge some of the mathematical foundations of simulated evolution. This second edition also presents the latest game-playing techniques that combine evolutionary algorithms with neural networks, including their success in playing competitive checkers. Chapter by chapter, this comprehensive book highlights the relationship between learning and intelligence."

Evolutionary Computation

Evolutionary Computation
Author: Xin Yao
Publsiher: World Scientific
Total Pages: 360
Release: 1999
ISBN: 9789810223069
Category: Science
Language: EN, FR, DE, ES & NL

Evolutionary Computation Book Excerpt:

Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting.

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation  Machine Learning and Data Mining in Bioinformatics
Author: Leonardo Vanneschi,William S. Bush,Mario Giacobini
Publsiher: Springer
Total Pages: 217
Release: 2013-02-26
ISBN: 3642371892
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics Book Excerpt:

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

Swarm and Evolutionary computation

Swarm and Evolutionary computation
Author: Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi Zadeh,Jacek Zurada
Publsiher: Springer
Total Pages: 440
Release: 2012-04-15
ISBN: 3642293530
Category: Computers
Language: EN, FR, DE, ES & NL

Swarm and Evolutionary computation Book Excerpt:

The volume LNCS 7269 constitutes the refereed proceedings of the International Symposium on Swarm Intelligence and Differential Evolution, SIDE 2012, held in Zakopane, Poland, in April/May 2012 in conjunction with the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012 (proceedings published as two-volume set LNAI 7267 and 7268). The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The volume is divided into two topical parts: proceedings of the 2012 symposium on swarm intelligence and differential evolution and on evolutionary algorithms and their applications.

AI 2012 Advances in Artificial Intelligence

AI 2012  Advances in Artificial Intelligence
Author: Michael Thielscher,Dongmo Zhang
Publsiher: Springer
Total Pages: 917
Release: 2013-02-01
ISBN: 3642351018
Category: Computers
Language: EN, FR, DE, ES & NL

AI 2012 Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 25th Australasian Joint Conference on Artificial Intelligence, AI 2012, held in Sydney, Australia, in December 2012. The 76 revised full papers presented were carefully reviewed and selected from 196 submissions. The papers address a wide range of agents, applications, computer vision, constraints and search, game playing, information retrieval, knowledge representation, machine learning, planning and scheduling, robotics and uncertainty in AI.

Markov Networks in Evolutionary Computation

Markov Networks in Evolutionary Computation
Author: Siddhartha Shakya,Roberto Santana
Publsiher: Springer Science & Business Media
Total Pages: 244
Release: 2012-04-23
ISBN: 3642289002
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Markov Networks in Evolutionary Computation Book Excerpt:

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs). EDAs have arisen as one of the most successful experiences in the application of machine learning methods in optimization, mainly due to their efficiency to solve complex real-world optimization problems and their suitability for theoretical analysis. This book focuses on the different steps involved in the conception, implementation and application of EDAs that use Markov networks, and undirected models in general. It can serve as a general introduction to EDAs but covers also an important current void in the study of these algorithms by explaining the specificities and benefits of modeling optimization problems by means of undirected probabilistic models. All major developments to date in the progressive introduction of Markov networks based EDAs are reviewed in the book. Hot current research trends and future perspectives in the enhancement and applicability of EDAs are also covered. The contributions included in the book address topics as relevant as the application of probabilistic-based fitness models, the use of belief propagation algorithms in EDAs and the application of Markov network based EDAs to real-world optimization problems. The book should be of interest to researchers and practitioners from areas such as optimization, evolutionary computation, and machine learning.

Swarm Intelligence and Deep Evolution

Swarm Intelligence and Deep Evolution
Author: Hitoshi Iba
Publsiher: CRC Press
Total Pages: 288
Release: 2022-04-14
ISBN: 1000579905
Category: Computers
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Deep Evolution Book Excerpt:

The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging trends in deep learning that involve the integration of swarm intelligence and evolutionary computation with deep learning, i.e., deep neuroevolution and deep swarms. The study reviews the research on network structures and hyperparameters in deep learning, and attracting attention as a new trend in AI. A part of the coverage of the book is based on the results of practical examples as well as various real-world applications. The future of AI, based on the ideas of swarm intelligence and evolution is also covered. The book is an introductory work for researchers. Approaches to the realization of AI and the emergence of intelligence are explained, with emphasis on evolution and learning. It is designed for beginners who do not have any knowledge of algorithms or biology, and explains the basics of neural networks and deep learning in an easy-to-understand manner. As a practical exercise in neuroevolution, the book shows how to learn to drive a racing car and a helicopter using MindRender. MindRender is an AI educational software that allows the readers to create and play with VR programs, and provides a variety of examples so that the readers will be able to create and understand AI.

Evolutionary Algorithms in Theory and Practice

Evolutionary Algorithms in Theory and Practice
Author: Thomas Back
Publsiher: Oxford University Press
Total Pages: 328
Release: 1996-01-11
ISBN: 0195356705
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Algorithms in Theory and Practice Book Excerpt:

This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming. The algorithms are presented within a unified framework, thereby clarifying the similarities and differences of these methods. The author also presents new results regarding the role of mutation and selection in genetic algorithms, showing how mutation seems to be much more important for the performance of genetic algorithms than usually assumed. The interaction of selection and mutation, and the impact of the binary code are further topics of interest. Some of the theoretical results are also confirmed by performing an experiment in meta-evolution on a parallel computer. The meta-algorithm used in this experiment combines components from evolution strategies and genetic algorithms to yield a hybrid capable of handling mixed integer optimization problems. As a detailed description of the algorithms, with practical guidelines for usage and implementation, this work will interest a wide range of researchers in computer science and engineering disciplines, as well as graduate students in these fields.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Artificial Intelligence and Evolutionary Computations in Engineering Systems
Author: Subhransu Sekhar Dash,C. Lakshmi,Swagatam Das,Bijaya Ketan Panigrahi
Publsiher: Springer Nature
Total Pages: 799
Release: 2020-02-08
ISBN: 9811501998
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Evolutionary Computations in Engineering Systems Book Excerpt:

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

New Frontier In Evolutionary Algorithms Theory And Applications

New Frontier In Evolutionary Algorithms  Theory And Applications
Author: Iba Hitoshi,Noman Nasimul
Publsiher: Imperial College Press
Total Pages: 316
Release: 2011-08-26
ISBN: 1911299557
Category: Computers
Language: EN, FR, DE, ES & NL

New Frontier In Evolutionary Algorithms Theory And Applications Book Excerpt:

This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications. It provides a methodology for a GA-based search strategy with the integration of several Artificial Life and Artificial Intelligence techniques, such as memetic concepts, swarm intelligence, and foraging strategies. The development of such tools contributes to better optimizing methodologies when addressing tasks from areas such as robotics, financial forecasting, and data mining in bioinformatics.The emphasis of this book is on applicability to the real world. Tasks from application areas - optimization of the trading rule in foreign exchange (FX) and stock prices, economic load dispatch in power system, exit/door placement for evacuation planning, and gene regulatory network inference in bioinformatics - are studied, and the resultant empirical investigations demonstrate how successful the proposed approaches are when solving real-world tasks of great importance.

Evolutionary Computing and Artificial Intelligence

Evolutionary Computing and Artificial Intelligence
Author: Fernando Koch,Atsushi Yoshikawa,Shihan Wang,Takao Terano
Publsiher: Springer
Total Pages: 131
Release: 2019-03-13
ISBN: 9811369364
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Computing and Artificial Intelligence Book Excerpt:

This Festschrift volume is published in honor of Takao Terano on the occasion of his retirement. Takao Terano is a leading expert in the areas of agent-based modelling, knowledge systems, evolutionary computation, and service science.The contributions in this volume reflect the breadth and impact of his work. The volume contains 12 full papers related to Takao Terano’s research. They deal with various aspects of artificial intelligence, multi-agent systems, collaborative and social computing, social networks, ubiquitous computing.