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Creative Evolutionary Systems
  • Language: en
  • Pages: 618

Creative Evolutionary Systems

Written for computer scientists and students, and computer literate artists, designers and specialists in evolutionary computation, this text brings together the most advanced work in the use of evolutionary computation for creative results.

Applications Of Multi-objective Evolutionary Algorithms
  • Language: en
  • Pages: 791

Applications Of Multi-objective Evolutionary Algorithms

This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.

Recent Advances in Memetic Algorithms
  • Language: en
  • Pages: 406

Recent Advances in Memetic Algorithms

Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.

Advances in Soft Computing
  • Language: en
  • Pages: 385

Advances in Soft Computing

Soft computing embraces methodologies for the development of intelligent systems that have been successfully applied to a large number of real-word problems. This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing. Features: - New and highly advanced research results at the forefront of soft computing in engineering design and manufacturing. - Keynote papers by world-renowned researchers in the field. - A good overview of current soft computing research around the world. A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering.

Unconventional Computation
  • Language: en
  • Pages: 267

Unconventional Computation

(1998) 2. Antoniou, I., Calude, C.S., Dinneen, M.J. (eds.): Unconventional Models of Computation,UMC2K:ProceedingsoftheSecondInternationalConference.

Evolutionary Computation in Bioinformatics
  • Language: en
  • Pages: 432

Evolutionary Computation in Bioinformatics

This book offers a definitive resource that bridges biology and evolutionary computation. The authors have written an introduction to biology and bioinformatics for computer scientists, plus an introduction to evolutionary computation for biologists and for computer scientists unfamiliar with these techniques.

Recent Advances In Simulated Evolution And Learning
  • Language: en
  • Pages: 836

Recent Advances In Simulated Evolution And Learning

Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences

Artificial Immune Systems
  • Language: en
  • Pages: 310

Artificial Immune Systems

This book constitutes the refereed proceedings of the Second International Conference on Artificial Immune Systems, ICARIS 2003, held in Edinburgh, UK in September 2003. The 27 revised full papers presented were carefully reviewed and selected from 41 submissions. The book presents the first coherent account of the state of the art in artificial immune systems reserch. The papers are organized in topical sections on applications of artificial immune systems, immunocomputing, emerging metaphors, augmentation of artificial immune systems algorithms, theory of artificial immune systems, and representations and operators.

Practical Handbook of Genetic Algorithms
  • Language: en
  • Pages: 602

Practical Handbook of Genetic Algorithms

  • Type: Book
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  • Published: 2019-09-17
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  • Publisher: CRC Press

Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti

Multiobjective Problem Solving from Nature
  • Language: en
  • Pages: 413

Multiobjective Problem Solving from Nature

This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.