18 books like Genetic and Evolutionary Computing

What to read after Genetic and Evolutionary Computing — books similar to it, matched on shared themes.

Applications of Evolutionary Computation Antonio M. Mora · 2014 · 342p · ≈ 11h · Moderate This book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, EvoApplications 2015, held in Copenhagen, Spain, in April 2015, colocated with the Evo 2015 events EuroGP, EvoCOP, and EvoMUSART. The 72 revised full papers presented were carefully reviewed and selected from 125 submissions. EvoApplications 2015… Shares: Evolutionary computation, Artificial Intelligence

Artificial Evolution Evelyne Lutton · 2008 · 248p · ≈ 8h · Moderate This book constitutes the refereed proceedings of the 11th International Conference on Artificial Evolution, EA 2013, held in Bordeaux, France, in October 2013. The 20 revised papers  were carefully reviewed and selected from 39 submissions. The papers are focused to theory, ant colony optimization, applications, combinatorial and discrete optimization, memetic algorithms, genetic programming,… Shares: Genetic algorithms, Evolutionary programming, Evolutionary computation, Artificial Intelligence

Swarm, Evolutionary, and Memetic Computing Bijaya Ketan Panigrahi · 2010 · 777p · ≈ 25h · Moderate The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume set was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic… Shares: Evolutionary programming, Evolutionary computation, Computational intelligence, Artificial Intelligence

Genetic algorithms + data structures = evolution programs Zbigniew Michalewicz · 1992 · 350p · ≈ 11h · Moderate 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… Shares: Genetic algorithms, Evolutionary programming

Artificial Intelligence David L. Poole · 2006 · 741p · ≈ 24h · Moderate Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics, and computer science that develops and studies methods and software that enable machines to perceive their environment and use… Shares: Computational intelligence, Artificial Intelligence

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Roger Y. Lee · 2010 · 234p · ≈ 7h · Moderate This edited book presents scientific results of the 14th ACIS/IEEE International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2013), held in Honolulu, Hawaii, USA on July 1-3, 2013. The aim of this conference was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new… Shares: Parallel processing, Computational intelligence, Artificial Intelligence

Artificial Intelligence and Evolutionary Computations in Engineering Systems Subhransu Sekhar Dash · 2016 · 743p · ≈ 24h · Moderate The book is a collection of high-quality peer-reviewed research papers presented in the first International Conference on International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES -2015) held at Velammal Engineering College (VEC), Chennai, India during 22 – 23 April 2015. The book discusses wide variety of industrial, engineering and… Shares: Evolutionary computation, Artificial Intelligence

Evolutionary computation David B. Fogel · 1995 · 274p · ≈ 9h · Moderate "In this revised and significantly expanded second edition, distinguished scientist David B. Fogel presents the latest advances in both the theory and practice of evolutionary computation to help you keep pace with developments in this fast-changing field.". "In-depth and updated, Evolutionary Computation shows you how to use simulated evolution to achieve machine intelligence. You will gain… Shares: Evolutionary programming, Evolutionary computation, Artificial Intelligence

Computational Intelligence Kurosh Madani · 2011 · 318p · ≈ 10h · Moderate The present book includes a set of selected extended papers from the third International Joint Conference on Computational Intelligence (IJCCI 2011), held in Paris, France, from 24 to 26 October 2011. The conference was composed of three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the… Shares: Computational intelligence, Artificial Intelligence

Recent Advances in Computational Optimization Stefka Fidanova · 2013 · 240p · ≈ 8h · Moderate Optimization is part of our everyday life. We try to organize our work in a better way and optimization occurs in minimizing time and cost or the maximization of the profit, quality and efficiency.Also many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.This volume is a comprehensive collection of extended contributions… Shares: Computational intelligence, Artificial Intelligence

Ambient Intelligence - Software and Applications Paulo Novais · 2011 · 281p · ≈ 9h · Moderate This book presents the latest research on Ambient Intelligence (AmI) including software and applications in different areas such as Internet of Things, Multi-Agent Systems or e-Learning, among others. AmI is a paradigm emerging from Artificial Intelligence, in which computers are used as proactive tools for assisting people with their day-to-day activities, making everyone’s lives more… Shares: Computational intelligence, Artificial Intelligence

Computational Intelligence. Theory and Applications Bernd Reusch · 1997 · 714p · ≈ 23h · Moderate This book constitutes the refereed proceedings of the 9th Dortmund Fuzzy Days, held in Dortmund, Germany, 2006. The Fuzzy Days conference has established itself as an international forum for the discussion of new results in the field of Computational Intelligence. All the papers had to undergo a thorough review guaranteeing a solid quality of the programme. The papers are devoted to foundational… Shares: Computational intelligence, Artificial Intelligence

Machine Learning Paradigms Aristomenis S. Lampropoulos · 2015 · 370p · ≈ 12h · Moderate This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the… Shares: Computational intelligence, Artificial Intelligence

Complex-Valued Neural Networks Akira Hirose · 2007 · 196p · ≈ 6h · Moderate Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed… Shares: Computational intelligence, Artificial Intelligence

Perceptrons Marvin Minsky · 1969 · ★ 4.1 · 283p · ≈ 9h · Moderate In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of… Shares: Parallel processing, Artificial Intelligence

Proceedings of CiitV. Sivaraj

Proceedings of Ciit V. Sivaraj · 2012 Shares: Computational intelligence, Artificial Intelligence

Intelligent Systems Technologies and Applications Sabu M. Thampi · 2015 · 301p · ≈ 10h · Moderate This book explores and discusses various aspects of intelligent systems technologies and their applications. It constitutes the thoroughly refereed post-conference proceedings of the 4th International Symposium on Intelligent Systems Technologies and Applications (ISTA’18), September 19-22, 2018, Bangalore, India. All submissions were evaluated on the basis of their significance, novelty, and… Shares: Computational intelligence, Artificial Intelligence

Simulation and Modeling Methodologies, Technologies and Applications Mohammad S. Obaidat · 2013 · 358p · ≈ 11h · Moderate The present book includes a set of selected extended papers from the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2015), held in Colmar, France, from 21 to 23 July 2015. The conference brought together researchers, engineers and practitioners interested in methodologies and applications of modeling and simulation. New and… Shares: Computational intelligence, Artificial Intelligence

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