Tag: Evolutionary

Free Download Plant Retrotransposons: Genomic, Evolutionary and Biotechnological Perspectives
by Deepu Pandita, Anu Pandita
English | 2025 | ISBN: 1032663456 | 281 pages | True PDF EPUB | 34.96 MB

Free Download Evolutionary Large-Scale Multi-Objective Optimization and Applications by Xingyi Zhang, Ran Cheng, Ye Tian
English | August 6, 2024 | ISBN: 1394178417 | 352 pages | MOBI | 18 Mb
Tackle the most challenging problems in science and engineering with these cutting-edge algorithms

Free Download The Development of Evolutionary Genetics: From Early Ideas on Evolution to the Modern Synthesis
English | 2024 | ISBN: 3031693736 | 825 Pages | PDF EPUB (True) | 64 MB
The books describes the historical development of evolutionary genetics, starting from early ideas on evolution and ending with the modern synthesis. It provides an extensive coverage of the history of both evolution and heredity, and gives detailed descriptions of the works of Lamarck, Darwin, Mendel, Näageli, Weismann, de Vries, Galton, Pearson, Bateson, Johannsen, Morgan, Fisher, Wright and Haldane, amongst many others. The book does not deal only with a description of historical work: it also analyses and critiques existing theories and evolutionary beliefs throughout history, and discusses several controversies between biologists.

Free Download Intelligence Computation and Evolutionary Computation: Results of 2012 International Conference of Intelligence Computation and Evolutionary Computation ICEC 2012 Held July 7, 2012 in Wuhan, China By Zuoling Nie, Yuhai Su, Chong-jin Wang (auth.), Zhenyu Du (eds.)
2013 | 1114 Pages | ISBN: 3642316557 | PDF | 29 MB
2012 International Conference of Intelligence Computation and Evolutionary Computation (ICEC 2012) is held on July 7, 2012 in Wuhan, China. This conference is sponsored by Information Technology & Industrial Engineering Research Center. ICEC 2012 is a forum for presentation of new research results of intelligent computation and evolutionary computation. Cross-fertilization of intelligent computation, evolutionary computation, evolvable hardware and newly emerging technologies is strongly encouraged. The forum aims to bring together researchers, developers, and users from around the world in both industry and academia for sharing state-of-art results, for exploring new areas of research and development, and to discuss emerging issues facing intelligent computation and evolutionary computation.

Free Download Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications) by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha
English | April 23, 2024 | ISBN: 9819997178 | 372 pages | MOBI | 20 Mb
This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning.

Free Download Evolutionary Search and the Job Shop: Investigations on Genetic Algorithms for Production Scheduling By Dr. Dirk C. Mattfeld (auth.)
1996 | 153 Pages | ISBN: 3790809179 | PDF | 4 MB
Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in the algorithm comes along with a quite inefficient search. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques.

Free Download Towards Evolvable Hardware: The Evolutionary Engineering Approach By Eduardo Sanchez (auth.), Eduardo Sanchez, Marco Tomassini (eds.)
1996 | 274 Pages | ISBN: 3540610936 | PDF | 5 MB
Evolutionary computing, inspired by the biological world, is one of the emergent technologies of our time. Being essentially a software activity, it has been successfully applied, e.g. for optimization and machine learning in various areas. The tremendous increase in computational power and, more recently, the appearance of a new generation of programmable logic devices allow for a new approach to designing computing machines inspired by biological models: it is now possible to make the hardware itself evolve.This book is based on a workshop on evolvable hardware, held in Lausanne, Switzerland, in October 1995. It reports the state of the art of research in this field and presents two introductory chapters, written with the novice reader in mind.

Free Download Evolutionary Algorithms in Engineering Applications By Dipankar Dasgupta, Zbigniew Michalewicz (auth.), Dipankar Dasgupta, Zbigniew Michalewicz (eds.)
1997 | 558 Pages | ISBN: 3642082823 | PDF | 17 MB
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.

Free Download Applications of Evolutionary Computing: EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004. Proceedings By Andrea Bazzoli, Andrea G. B. Tettamanzi (auth.), Günther R. Raidl, Stefano Cagnoni, Jürgen Branke, David Wolfe Corne, Rolf Drechsler, Yaochu Jin, Colin G. Johnson, Penousal Machado, Elena Marchiori, Franz Rothlauf, George D. Smith, Giovanni Squillero
2004 | 568 Pages | ISBN: 3540213783 | PDF | 13 MB
Evolutionary Computation (EC) deals with problem solving, optimization, and machine learning techniques inspired by principles of natural evolution and – netics. Just from this basic de?nition, it is clear that one of the main features of theresearchcommunityinvolvedinthestudyofitstheoryandinitsapplications is multidisciplinarity. For this reason, EC has been able to draw the attention of an ever-increasing number of researchers and practitioners in several ?elds. In its 6-year-long activity, EvoNet, the European Network of Excellence in Evolutionary Computing, has been the natural reference and incubator for that multifaceted community. EvoNet has provided logistic and material support for thosewhowerealreadyinvolvedinECbut,inthe?rstplace,ithashadacritical role in favoring the signi?cant growth of the EC community and its interactions with longer-established ones. The main instrument that has made this possible has been the series of events, ?rst organized in 1998, that have spanned over both theoretical and practical aspects of EC. Ever since 1999, the present format, in which the EvoWorkshops, a collection of workshops on the most application-oriented aspects of EC, act as satellites of a core event, has proven to be very successful and very representative of the multi-disciplinarity of EC. Up to 2003, the core was represented by EuroGP, the main European event dedicated to Genetic Programming. EuroGP has been joined as the main event in 2004 by EvoCOP, formerly part of EvoWorkshops, which has become the European Conference on Evolutionary Computation in Combinatorial Optimization.

Free Download Applications of Evolutionary Computing: EvoWorkkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC Lausanne, Switzerland, March 30 – April 1, 2005 Proceedings By Jesus S. Aguilar-Ruiz, Federico Divina (auth.), Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David Wolfe Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero (eds.)
2005 | 631 Pages | ISBN: 3540253963 | PDF | 14 MB
Evolutionary computation (EC) techniques are e?cient nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and the simple underlying principles, these methods can be used for a large number of problems in the context of problem solving,optimization,andmachinelearning. Alargeandcontinuouslyincreasing number of researchers and practitioners make use of EC techniques in many – plication domains. The book at hand presents a careful selection of relevant EC applications combined with thorough examinations of techniques for a successful application of EC. The presented papers illustrate the current state of the art in the application of EC and should help and inspire researchers and practitioners to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2005, which was a varying collection of workshops on application-oriented aspects of EC. Since 1999, the format of the EvoWorkshops has proved to be very successful and well representative of the advances in the application of EC. Consequently, over the last few years, EvoWorkshops has become one of the major events addressing the application of EC. In contrast to other large conferences in the EC ?eld, the EvoWorkshops focus solely on application aspects of EC and are an important link between EC research and the application of EC in a large variety of di?erent domains.