Kalyanmoy Deb's Books

Multi-Objective Optimization using Evolutionary Algorithms

By: Kalyanmoy Deb

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Multi-Objective Optimization using Evolutionary Algorithms

By: Kalyanmoy Deb

Optimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft.

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Page Count

540

Publisher

John Wiley & Sons

Published Date

ISBN 10

047187339X

ISBN 13

9780471873396

OPTIMIZATION FOR ENGINEERING DESIGN

Algorithms and Examples

By: KALYANMOY DEB

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OPTIMIZATION FOR ENGINEERING DESIGN

Algorithms and Examples

By: KALYANMOY DEB

This well-received book, now in its second edition, continues to provide a number of optimization algorithms which are commonly used in computer-aided engineering design. The book begins with simple single-variable optimization techniques, and then goes on to give unconstrained and constrained optimization techniques in a step-by-step format so that they can be coded in any user-specific computer language. In addition to classical optimization methods, the book also discusses Genetic Algorithms and Simulated Annealing, which are widely used in engineering design problems because of their ability to find global optimum solutions. The second edition adds several new topics of optimization such as design and manufacturing, data fitting and regression, inverse problems, scheduling and routing, data mining, intelligent system design, Lagrangian duality theory, and quadratic programming and its extension to sequential quadratic programming. It also extensively revises the linear programming algorithms section in the Appendix. This edition also includes more number of exercise problems. The book is suitable for senior undergraduate/postgraduate students of mechanical, production and chemical engineering. Students in other branches of engineering offering optimization courses as well as designers and decision-makers will also find the book useful. Key Features Algorithms are presented in a step-by-step format to facilitate coding in a computer language. Sample computer programs in FORTRAN are appended for better comprehension. Worked-out examples are illustrated for easy understanding. The same example problems are solved with most algorithms for a comparative evaluation of the algorithms.

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Page Count

440

Publisher

PHI Learning Pvt. Ltd.

Published Date

ISBN 10

8120346785

ISBN 13

9788120346789

Multi-Objective Optimization using Evolutionary Algorithms

By: Kalyanmoy Deb

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Multi-Objective Optimization using Evolutionary Algorithms

By: Kalyanmoy Deb

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Solve jigsaw puzzle

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Page Count

540

Publisher

John Wiley & Sons

Published Date

ISBN 10

047187339X

ISBN 13

9780471873396

OPTIMIZATION FOR ENGINEERING DESIGN

Algorithms and Examples

By: KALYANMOY DEB

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OPTIMIZATION FOR ENGINEERING DESIGN

Algorithms and Examples

By: KALYANMOY DEB

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Page Count

440

Publisher

PHI Learning Pvt. Ltd.

Published Date

ISBN 10

8120346785

ISBN 13

9788120346789

Multiobjective Problem Solving from Nature

From Concepts to Applications

By: Joshua Knowles,David Corne,Kalyanmoy Deb

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Multiobjective Problem Solving from Nature

From Concepts to Applications

By: Joshua Knowles,David Corne,Kalyanmoy Deb

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.

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Page Count

413

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540729631

ISBN 13

9783540729631

Multiobjective Problem Solving from Nature

From Concepts to Applications

By: Joshua Knowles,David Corne,Kalyanmoy Deb

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Multiobjective Problem Solving from Nature

From Concepts to Applications

By: Joshua Knowles,David Corne,Kalyanmoy Deb

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413

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540729631

ISBN 13

9783540729631

Genetic and Evolutionary Computation — GECCO 2004

Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26–30, 2004 Proceedings

By: Kalyanmoy Deb,Riccardo Poli,Wolfgang Banzhaf,Hans-Georg Beyer,Edmund Burke,Paul Darwen,Dipankar Dasgupta,Dario Floreano,James A. Foster,Mark Harman,Owen Holland,Pier Luca Lanzi,Lee Spector,Andrea Tettamanzi,Dirk Thierens,Andy Tyrrell

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Genetic and Evolutionary Computation — GECCO 2004

Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26–30, 2004 Proceedings

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

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Page Count

1448

Publisher

Springer

Published Date

ISBN 10

3540223436

ISBN 13

9783540223436

Innovization

Discovering Innovative Solution Principles Through Optimization

By: Kalyanmoy Deb

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Innovization

Discovering Innovative Solution Principles Through Optimization

By: Kalyanmoy Deb

Every designer wants to know what makes a product or process optimal. This book suggests a holistic approach to optimization that involves two steps: find a set of trade-off optimal solutions involving two or more conflicting objectives related to the problem, and then analyze these high-performing solutions to determine solution principles that commonly prevail among these solutions. Since the solutions are optimal, such common principles are likely to exist; and since these principles are common to many solutions they are likely to provide robust, reliable solution principles. The author is one of the leading researchers in multiobjective optimization, and an expert in design methodology. In this book he offers introductions to innovation in design; multiobjective optimization, in particular evolutionary multiobjective optimization (EMO) techniques that find multiple, trade-off, optimal solutions; and knowledge extraction from multivariate data using graphical, regression and clustering techniques. He then introduces his innovization methodology for revealing new, innovative design principles related to decision variables and objectives, and he demonstrates it through engineering case studies, in particular product and process design problems. The book will be of benefit to practitioners, researchers and students engaged with issues of optimal design, in particular in domains such as engineering design, product design, engineering optimization, manufacturing, process design and complex systems. The sample computer code referenced is available from the author's website.

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Page Count

300

Publisher

Springer

Published Date

ISBN 10

3540731725

ISBN 13

9783540731726

Book's by Kalyanmoy Deb

Multi-Objective Optimization using Evolutionary Algorithms

Multi-Objective Optimization using Evolutionary Algorithms

OPTIMIZATION FOR ENGINEERING DESIGN

OPTIMIZATION FOR ENGINEERING DESIGN

Multi-Objective Optimization using Evolutionary Algorithms

Multi-Objective Optimization using Evolutionary Algorithms

OPTIMIZATION FOR ENGINEERING DESIGN

OPTIMIZATION FOR ENGINEERING DESIGN

Multiobjective Problem Solving from Nature

Multiobjective Problem Solving from Nature

Multiobjective Problem Solving from Nature

Multiobjective Problem Solving from Nature

Genetic and Evolutionary Computation — GECCO 2004

Genetic and Evolutionary Computation — GECCO 2004

Innovization

Innovization

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