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Multi-Objective Optimization Using Evolutionary Algorithms

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Great book; a must for engineers and scientists alike
The Reference in Evolutionary Multiobjective Optimization

Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb , and Deb Kalyanmoy
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Ant Colony Optimization (Bradford Books)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
Genetic Algorithms in Search, Optimization, and Machine Learning

ASIN: 047187339X

Book Description

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.
· Comprehensive coverage of this growing area of research
· Carefully introduces each algorithm with examples and in-depth discussion
· Includes many applications to real-world problems, including engineering design and scheduling
· Includes discussion of advanced topics and future research
· Can be used as a course text or for self-study
· Accessible to those with limited knowledge of classical multi-objective optimization and evolutionary algorithms
The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.

Customer Reviews:

Great Book.......2007-02-26

I highly recommend this book, it covers all the important subjects. A great acquisition!

Great book; a must for engineers and scientists alike.......2001-09-28

Kalyanmoy Deb has put together a great summary of the state of affairs in multiobjective genetic algorithms. Should you be an engineer or a scientist involved in the optimization of any design of sizeable complexity, you should read this book and become familiar with the techniques that have evolved over the last decade into powerful methods of optimization. This book is in many many ways bridging the gap from Michalewicz's and Fogel's book ("How to solve it") to the more modern era of this field (eg late nineties up to now...). So whereas those two authors never really considered multiobjective genetic algorithms, Deb plows through with the great expertize of a (perhaps even "the") leading researcher in that domain. This is a great book of _receipes_ with the level of details necessary to make use of them. It's a "how to" book; this is the one you have cracked open on your desk while you're hard coding it all up. However, it's not very well written with the prose being very terse and basically quite unengaging. But so what! In some sense yes perhaps, but Michalewicz and Fogel made a point that one can write technical litterature that one can also read. Perhaps they went overboard... in any case, Deb's book is about algorithms so who cares about whether the book puts you to sleep and it can do that, unfortunately. Apart from the unengaging style and the paucity of depth in the examples scope, the real problem with the book is not with the book itself, it's with the field of multiobjective optimization based on evolutionary methods. It's fairly evident that there is not much of any sort of fundamental understanding available at this time in support of why evolutionary techniques do work well, and they do, sometimes... If this understanding is available, you won't find it in Deb's book. If you are like me though, you won't care all that much really so long as the techniques are efficient and presented in a way that make them useable, and that's done right... But on the whole, it's a little unsatisfying because one's left with a panoply of various techniques and ways to define operators and representations but there is no insight given on which one might be best or how to craft them to particular situations. There is a lot of so-'n-so in reference this and that did it like this and it seems to work well there, however... The reason for this state of affairs is, of course, that nobody has a real clue, yet... But that is _not_ Deb's fault and this is not why, as a user, I'm not rating his book a full 5 stars. In some sense it could be rated as high as that but I thought the presentation was rather unengaging and not with all the breath and depth it could have had. So it's a 4.5 stars perhaps... let's say... but Amazon does not let me select 4.5 stars so it's 4, this edition at least...

The Reference in Evolutionary Multiobjective Optimization.......2001-07-23

This is the first complete and updated text on Multi-objective Evolutionary Algorithms (MOEAs), covering all major areas clearly, thoughtfully and thoroughly. Thanks to the development of evolutionary computation MOEAs are now a well established technique for multi-objective optimization that finds multiple effective solutions in a single run. The widely interdisciplinary interest of engineers, scientists and mathematicians towards MOEAs has been evident during the first international conference on this topic (EMO2001,Zurich). The book is extremely useful for researchers working on multi-objective optimization in all branches of engineering and sciences, that will find a complete description of all available methodologies, starting from a detailed description and criticism of classical methods, towards a deep treating of the most advanced evolutionary techniques. Moreover several analytical test cases are given, covering all difficulties a MOEA encounters when converging towards the Pareto Optimal front. This set of test problems, together with several performance measurement parameters are essential when testing a new strategy before its application to a real-world problem. Despite the detail in advanced topics, Deb's book may be also used as a reference-book for a post-graduate course thanks to the scholarly coverage of basic arguments. As a final remark I strongly suggest everyone working on evolutionary computation and optimization to keep this book on the desk.

Decisions with Multiple Objectives: Preferences and Value Trade-Offs

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Excellent utility and decision theory foundation
Methodology on preference retrieval implementation

Decisions with Multiple Objectives: Preferences and Value Trade-Offs
Ralph L. Keeney , and Howard Raiffa
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Paperback

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Value-Focused Thinking: A Path to Creative Decisionmaking
Smart Choices: A Practical Guide to Making Better Decisions
Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, New Edition 2001 (Analytic Hierarchy Process Series, Vol. 2)
Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets

ASIN: 0521438837

Book Description

Many of the complex problems faced by decision makers involve multiple conflicting objectives. This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives. The theory is illustrated by many real concrete examples taken from a host of disciplinary settings. The standard approach in decision theory or decision analysis specifies a simplified single objective like monetary return to maximise. By generalising from the single objective case to the multiple objective case, this book considerably widens the range of applicability of decision analysis.

Customer Reviews:

Excellent utility and decision theory foundation.......2006-12-14

This book is a very good foundation of MCDA (Multi Criteria Decision Analysis) with all the mathematical proofs behind the theory. The authors give real life examples on the application of their model and explain the intuition of their methodology.

Although the math is a bit advanced, the authors explain step-by-step all the terminology, what makes the theory easily understandable. I have used it as a reference in a course of my M.Sc. in Operations Research and Decisions, but I believe undergraduates can understand it (not without sweating a few drops).

Personally, I believe that Keeney's book "Value Focused thinking" is more intuitive and day-to-day oriented, but the bulk of the theory is presented in this earlier book. So if you like math and economics, you should try this book first.

Methodology on preference retrieval implementation.......2000-03-17

This is a very good book grounded in solid microeconomic theory foundations. It starts with classical micro theory such as preferences and axioms, and it moves on to risky preferences and methods on how to retrieve them by constructing careful experiments. It also discusses the limitations on preference retrieval by such axiomatic methods due to the heuristics and biases that occur in decision making behaviour. However, this book is also useful for non-economists, as it describes decision making theories and applied methods on how to retrieve preferences in fields such as policy and medical sciences. The book's target market is mostly economics/ decision sciences graduate students or those who have achieved a comparable or higher level of their studies/work experience. It has also very instructive real world examples of PhD students running preference retrieval experiments and reporting their results. Good book for those keen on the subject. The 1976 version of the book has won a book prize, hence the assurance of quality. Furthermore, Raiffa is a well established Harvard academic, which further lends credence to the book.

Multi-Objective Programming and Goal Programming: Theory and Applications (Advances in Soft Computing)

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Multi-Objective Programming and Goal Programming: Theory and Applications (Advances in Soft Computing)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 3540006532

Book Description

This volume constitutes the proceedings of the Fifth International Conference on Multi-Objective Programming and Goal Programming held in Nara, Japan 2002. The book is dedicated to multi-objective methods in decision making. One half of the book is devoted to theoretical aspects, covering a broad range of multi-objective methods such as multiple linear programming, fuzzy goal programming, data envelopment analysis, game theory, and dynamic programming. Readers interested in practical applications will find in the remaining parts, a variety of approaches applied in numerous fields; including production planning, logistics, marketing, and finance.

Fuzzy Multiple Objective Decision Making (NATO Asi Series)

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Fuzzy Multiple Objective Decision Making (NATO Asi Series)
Young-Jou Lai
Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 0387575952

Book Description

In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, it presents solutions for real-world problems including production/manufacturing, location, logistics, environment management, banking/finance, personnel, marketing, accounting, agriculture economics and data analysis. This book is a guided tour through the literature in the rapidly growing fields of operations research and decision making and includes the most up-to-date bibliographical listing of literature on the topic.

Complex Managerial Decisions Involving Multiple Objectives

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Complex Managerial Decisions Involving Multiple Objectives
Allan Easton
Manufacturer: Krieger Pub Co
ProductGroup: Book
Binding: Hardcover

Multiple Objective and Goal Programming: Recent Developments (Advances in Soft Computing)

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Multiple Objective and Goal Programming: Recent Developments (Advances in Soft Computing)

Manufacturer: Physica-Verlag Heidelberg
ProductGroup: Book
Binding: Paperback

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ASIN: 3790814091

Book Description

The book is dedicated to multi-objective methods in decision making. The first part which is devoted to theoretical aspects, covers a broad range of multi-objective methods such as multiple linear programming, vector optimisation, fuzzy goal programming, data envelopment analysis, game theory, and dynamic programming. The reader who is interested in practical applications, will find in the remaining parts a variety of approaches applied in numerous fields including production planning, logistics, marketing, and finance.

Integrating business strategy and capital allocation: an application of multi-objective decision making.: An article from: Engineering Economist

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Integrating business strategy and capital allocation: an application of multi-objective decision making.: An article from: Engineering Economist
Michael R. Walls
Manufacturer: Institute of Industrial Engineers, Inc. (IIE)
ProductGroup: Book
Binding: Digital
ASIN: B00093MJ1G
Release Date: 2005-07-28

Book Description

This digital document is an article from Engineering Economist, published by Institute of Industrial Engineers, Inc. (IIE) on March 22, 1995. The length of the article is 7499 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: A fundamental element of the business strategy process is allocating capital and corporate resources. Managers of this process are often faced with complicating factors such as financial risk and uncertainty about potential outcomes. This paper describes a decision science methodology for systematically integrating the processes of business strategy and capital allocation. We present an application of this methodology by a large oil and gas company concerned with allocating an annual $200 million capital budget. This approach is shown to have broad implications for managers in all sectors and provides rich insight into the effects of integrating corporate objectives and risk policy into the investment choice process.

Citation Details
Title: Integrating business strategy and capital allocation: an application of multi-objective decision making.
Author: Michael R. Walls
Publication: Engineering Economist (Refereed)
Date: March 22, 1995
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v40 Issue: n3 Page: p247(10)

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Complex Decision Making: Theory and Practice (Understanding Complex Systems)

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Complex Decision Making: Theory and Practice (Understanding Complex Systems)

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 3540736646

Book Description

The increasingly complex environment, set in particular by technological innovation and global communication, generates myriads of possible and actual interactions while limited physical and intelletual ressources severly impinge on decision makers, be in in the public or private domains.

At the core of the decision-making process is the need for quality information that allows the decision maker to better assess the impact of decisions in terms of outcomes, nonlinear feedback processes and time delays on the performance of the complex system invoked.

This volume is a timely review on the principles underlying complex decision making, the handling of uncertainties in dynmaic envrionments and of the various modeling approaches used. The book consists of five parts

I: Complex Decision Making: Concepts, Theories and Empirical Evidence

II: Tools and Techniques for Decision Making in Complex Environments and Systems

III: System Dynamics and Agent-Based Modeling

IV: Methodological Issues

V: Future Directions

with a number of chapters for each of them.

Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems [An article from: Decision Support Systems

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Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems [An article from: Decision Support Systems
C.B. Cheng , C.C.H. Chan , and K.C. Lin
Manufacturer: Elsevier
ProductGroup: Book
Binding: Digital

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ASIN: B000PAUPV4

Book Description

This digital document is a journal article from Decision Support Systems, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Automated negotiation by autonomous agents has become increasingly important since the advent of e-marketplace. In this study, automated negotiation is viewed as a search process in which negotiators jointly search for a mutually acceptable contract in a multidimensional space formed by negotiable issues. This search is formulated as a multiple-objective decision making problem and is solved through an iterative process of generating offers by fuzzy inference systems. These fuzzy inference systems serve as a search heuristic and are formulated based on the strategy of issue trade-offs. Five experiments are conducted to evaluate the performance of the proposed automated negotiation algorithm.

Multi-Objective Programming and Goal Programming: Theories and Applications (Lecture Notes in Economics and Mathematical Systems, 432)

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The three most thought-after amigos of "Future X System"

Multi-Objective Programming and Goal Programming: Theories and Applications (Lecture Notes in Economics and Mathematical Systems, 432)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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Book Description

Most real-life problems involve making decisions to optimally achieve a number of criteria while satisfying some hard or soft constraints. In this book several methods for solving such problems are presented by the leading experts in the area. The book also contains a number of very interesting application papers which demonstrate theoretical modelling, analysing and solution of real-life problems.

Customer Reviews:

The three most thought-after amigos of "Future X System".......2005-03-05

The three most thought-after amigos of the core "Future X System"
1. Multi-Objective Programming and Goal Programming
2. Design and Analysis of Experiments, 5th Edition
3. SixSigmaServer.com (our full innovation)
Making use of:
QMS, ISO, SixSigmaServer.com
Linear Programming
Mathematics
Multiple criteria decision making
Multiple criteria decision making
Operations Research
Programming (Mathematics)
Science/Mathematics

In brief, most real-life problems involve making decisions to optimally achieve a number of criteria while satisfying some hard or soft constraints. Tackling several methods for solving such problems are presented by the leading experts in the area.
So we have to examine a number of very interesting theoretical modeling, analyzing and solution of real-life problems. However, Six Sigma add-on addresses the problem domain or in another word addresses the defect/errors together with their conversion to yield/success in the overall module. Many modules are lacking addressing the "problem domain' before and after the fact. This is the reason global car companies still suffer from recall in millions. Also we convert the whole into J2EE server thereby migrate from excel limitation, though we import and export it. We open to B2B relationships respecting this craft and its community.

Alan Darwish
312 388 5500
info@sixsigmaserver.com
SR Real Time Future X Systems Architect

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