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.

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.

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 Computation Theory and Applications

Evolutionary Computation  Theory and Applications
Author: Xin Yao
Publsiher: World Scientific
Total Pages: 376
Release: 1999-11-22
ISBN: 9814518166
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Computation Theory and Applications 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. Contents:Introduction (X Yao)Evolutionary Computation in Behavior Engineering (M Colombetti & M Dorigo)A General Method for Incremental Self-Improvement and Multi-Agent Learning (J Schmidhuber)Teacher: A Genetics-Based System for Learning and for Generalizing Heuristics (B W Wah & A Ieumwananonthachai)Automatic Discovery of Protein Motifs Using Genetic Programming (J R Koza & D Andre)The Role of Self Organization in Evolutionary Computations (A C Tsoi & J Shaw)Virus-Evolutionary Genetic Algorithm and Its Application to Traveling Salesman Problem (T Fukuda et al.)Hybrid Evolutionary Optimization Algorithm for Constrained Problems (J-H Kim & H Myung)CAM-BRAIN — The Evolutionary Engineering of a Billion Neuron Artificial Brain (H de Garis)An Evolutionary Approach to the N-Player Iterated Prisoner's Dilemma Game (X Yao & Darwen) Readership: Graduate students, practitioners and researchers in engineering and electronics and computer science. keywords:Genetic Algorithms;Evolutionary Computation;Evolutionary Algorithms;Genetic Programming;Evolutionary Robotics;Global Optimization;Evolutionary Games;Global Optimization;Machine Learning;Artificial Intelligence

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.

Progress in Evolutionary Computation

Progress in Evolutionary Computation
Author: Xin Yao
Publsiher: Springer Science & Business Media
Total Pages: 318
Release: 1995-08-10
ISBN: 9783540601548
Category: Computers
Language: EN, FR, DE, ES & NL

Progress in Evolutionary Computation Book Excerpt:

This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia. The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.

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.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Artificial Intelligence and Evolutionary Computations in Engineering Systems
Author: S. Chandramohan,Bala Venkatesh,Subhransu Sekhar Dash,Swagatam Das,C. Sharmeela
Publsiher: Springer Nature
Total Pages: 402
Release: 2021-08-18
ISBN: 981162674X
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 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. 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.

Computational Intelligence

Computational Intelligence
Author: Andries P. Engelbrecht
Publsiher: John Wiley & Sons
Total Pages: 628
Release: 2007-10-22
ISBN: 9780470512500
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Intelligence Book Excerpt:

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library. Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework. Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains. Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
Author: A.E. Eiben,J.E. Smith
Publsiher: Springer
Total Pages: 287
Release: 2015-07-01
ISBN: 3662448742
Category: Computers
Language: EN, FR, DE, ES & NL

Introduction to Evolutionary Computing Book Excerpt:

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.

Creative Evolutionary Systems

Creative Evolutionary Systems
Author: Peter Bentley,David Corne
Publsiher: Morgan Kaufmann
Total Pages: 576
Release: 2002
ISBN: 1558606734
Category: Computers
Language: EN, FR, DE, ES & NL

Creative Evolutionary Systems Book Excerpt:

Contenu du disque : Audio CD. Data Track; LadyBug; Olivine Trees; The Rake; Grain Streams (Vanishing Point); Force-4; Living Melodies; Soundscape T2. -- CD-ROM. Origine Generative Form Explorer; The Art of Rendering Music from Cellular Automata; An Evolutionary Environment for Interactive Composition; Visual Aesthetic Evolutionary Design Links; Living Melodies (description and demo software); The Cyclic Glade (artwork); Darwin2K open source toolkit for robot simulation and design; GenePool and Darwin software; Extended version of chapter 5; Soundscape Java Demo; Video of Feeping Creatures

Evolutionary Computation

Evolutionary Computation
Author: Gai-Ge Wang,Amir H. Alavi
Publsiher: MDPI
Total Pages: 424
Release: 2019-11-28
ISBN: 3039219286
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Evolutionary Computation Book Excerpt:

Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism, imitate the behavior of the animal's group, mimic the characteristics of human thought, language, and memory processes, or mimic the physical phenomena of nature, hoping to simulate the wisdom of nature and humanity enables an optimal solution to the problem and solves an acceptable solution in an acceptable time. Computational intelligent algorithms have received extensive attention at home and abroad, and have become an important research direction of artificial intelligence and computer science. This book will introduce the application of intelligent optimization algorithms in detail from the aspects of computational intelligence, job shop scheduling problems, multi-objective optimization problems, and machine learning

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.

Evolutionary Computation in Data Mining

Evolutionary Computation in Data Mining
Author: Ashish Ghosh
Publsiher: Springer
Total Pages: 266
Release: 2006-06-22
ISBN: 3540323589
Category: Computers
Language: EN, FR, DE, ES & NL

Evolutionary Computation in Data Mining Book Excerpt:

Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation).

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation  Machine Learning and Data Mining in Bioinformatics
Author: Clara Pizzuti,Marylyn D. Ritchie,Mario Giacobini
Publsiher: Springer
Total Pages: 203
Release: 2009-04-10
ISBN: 3642011845
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 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 17 revised full papers were carefully reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation  Machine Learning and Data Mining in Bioinformatics
Author: Marylyn D. Ritchie
Publsiher: Springer Science & Business Media
Total Pages: 249
Release: 2010-03-25
ISBN: 3642122108
Category: Computers
Language: EN, FR, DE, ES & NL

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

The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 8th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 8th EvoBIO conference was held in Istanbul, Turkey during April 7–9, 2010attheIstanbulTechnicalUniversity. EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic Programming (EuroGP 2010), the 10th European Conference on Evolutionary Computation in Combinatorial Opti- sation (EvoCOP 2010), and the conference on the applications of evolutionary computation,EvoApplications. Collectively,the conferences areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held annually as a workshop since 2003, became a conference in 2007 and it is now the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology.

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."

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Artificial Intelligence and Evolutionary Computations in Engineering Systems
Author: Subhransu Sekhar Dash,K. Vijayakumar,Bijaya Ketan Panigrahi,Swagatam Das
Publsiher: Springer
Total Pages: 863
Release: 2017-07-11
ISBN: 9811031746
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Evolutionary Computations in Engineering Systems Book Excerpt:

The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India. This conference is an international forum for industry professionals and researchers to deliberate and state their research findings, discuss the latest advancements and explore the future directions in the emerging areas of engineering and technology. The book presents original work and novel ideas, information, techniques and applications in the field of communication, computing and power technologies.

Principal Concepts in Applied Evolutionary Computation Emerging Trends

Principal Concepts in Applied Evolutionary Computation  Emerging Trends
Author: Hong, Wei-Chiang Samuelson
Publsiher: IGI Global
Total Pages: 400
Release: 2012-06-30
ISBN: 1466617500
Category: Computers
Language: EN, FR, DE, ES & NL

Principal Concepts in Applied Evolutionary Computation Emerging Trends Book Excerpt:

Increasingly powerful and diverse computing technologies have the potential to tackle ever greater and more complex problems and dilemmas in engineering and science disciplines. Principal Concepts in Applied Evolutionary Computation: Emerging Trends provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution. Academics and practicing field professionals will find this reference useful as they break into the emerging and complex world of evolutionary computation, learning to harness and utilize this exciting new interdisciplinary field.

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.