computational scalarization metaheuristics

books:

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Carlos A. Coello Coello, Gary B. Lamont, ...

Springer, 2007

Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a ...

Multi-Objective Optimization Using Evolutionary Algorithms

3 reviews
Kalyanmoy Deb, Deb Kalyanmoy

Wiley, 2001

The Reference in Evolutionary Multiobjective Optimization
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 ...

Multiobjective Problem Solving from Nature: From Concepts to Applications (Natural Computing Series)

Springer, 2008

Multiobjective problems involve several competing measures of solution quality, and multiobjective evolutionary algorithms (MOEAs) and multiobjective problem solving have become important topics of research in the evolutionary computation community over the past 10 years. This is an advanced text aimed at researchers and practitioners in the area of search and optimization. The book focuses on how MOEAs and related techniques can be used to ...

Evolutionary Multiobjective Optimization: Theoretical Advances and Applications (Advanced Information and ...

Springer, 2005

Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and ...

Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets

1 review
Craig W. Kirkwood

Duxbury Press, 1996

Very Good Book
I like it for the small size, yet it provides 20 times more information on the subject matter. The instructor manual will provide readers with great examples for real-world applications.

Fuzzy Sets and Interactive Multiobjective Optimization (Applied Information Technology)
M. Sakawa

Springer, 1993

This monograph is the first to integrate ambiguous parameters in problem-formulation with fuzzy goals for multiobjective optimization into a unified methodology. Including ''real-world'' applications illustrated by interactive computer programs (written in C, version 6.0 for IBM PCs), the work is intended for advanced undergraduate and graduate students and specialists in systems analysis in such fields as public decision-making, ...

Multi-Objective Optimization in Computational Intelligence: Theory and Practice (Premier Reference Source)

IGI Global, 2008

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, ...

Multiobjective Optimization: Principles and Case Studies (Decision Engineering)

1 review
Yann Collette, Patrick Siarry

Springer, 2004

A long awaited book
The importance of multiobjective optimization is significantly increasing in biology, economy etc... An updated introductory book is long overdue. The problem is it has disappeared shortly after it has been published!!

Multiobjective Decision Making: Theory and Methodology (Dover Books on Engineering)
Vira Chankong, Yacov Y Haimes

Dover Publications, 2008

This first-rate text concerns the theory and methodology of systems engineering as they relate to the evaluation of alternative courses of action and associated decision making. Topics include psychological value measurements, classical decision analysis, vector optimization theory, and noninteractive and interactive methods. 1983 edition.

Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering)
Mitsuo Gen, Runwei Cheng, ...

Springer, 2008

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. Network ...

Multiobjective Optimisation & Control (Engineering Systems Modelling and Control Series)

1 review
G. P. Liu, Jian-Bo Yang, ...

Research Studies Press Ltd, 2002

Multiobjective Optimisation & Control
A good book for those who begin a research in this field. The control part has a higher level than the optimisation one.

Multiobjective Evolutionary Algorithms and Applications (Advanced Information and Knowledge Processing)
K. C. Tan, E. F. Khor, ...

Springer, 2005

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required. Written for a wide readership, engineers, ...

Fuzzy and Multiobjective Games for Conflict Resolution (Studies in Fuzziness and Soft Computing)
Ichiro Nishizaki, Masatoshi Sakawa

Physica-Verlag Heidelberg, 2001

This book presents some of the most important concepts in noncooperative games and cooperative games and introduces as well the latest advances in the new field of game theory in fuzzy and multiobjective environments. Several game representations and solution concepts are introduced which take the amgiguity and the multiplicity of objectives into consideration. The book also demonstrates the computational methods applied for obtaining the ...

Adaptive Scalarization Methods in Multiobjective Optimization (Vector Optimization)
Gabriele Eichfelder

Springer, 2008

This book presents adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarization approaches. With the help of sensitivity results an adaptive parameter control is developed such that high-quality approximations of the efficient set are generated. These examinations are based on a special scalarization approach, but the application of these results to many other well-known scalarization methods is ...

Multiobjective Programming and Planning
Jared L. Cohon

Dover Publications, 2004

This text takes a broad view of multiobjective programming, emphasizing the methods most useful for continuous problems. It reviews multiobjective programming methods in the context of public decision-making problems. Topics include a review of linear programming, the formulation of the general multiobjective programming problem, much more. 1978 edition.

Applications Of Multi-Objective Evolutionary Algorithms (Advances in Natural Computation)

World Scientific Publishing Company, 2004

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 ...

Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques (Series ...
Jie Lu; Guangquan Zhang; Da Ruan

Imperial College Press, 2007

This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply ...

Multi-objective Management in Freight Logistics: Increasing Capacity, Service Level and Safety with ...
Massimiliano Caramia, Paolo Dell'Olmo

Springer, 2008

The complexity of modern supply chains requires decision makers in logistics to work with a set of efficient (Pareto optimal) solutions, mainly to catch different economic aspects for which one optimal solution related to a single objective function is not able to capture entirely. Motivated by this, and by recent changes in global markets and the availability of new transportation services, Multi-objective Management in Freight Logistics ...

Multi-Objective Optimization in Computer Networks Using Metaheuristics
Yezid Donoso, Ramon Fabregat

Auerbach Publications, 2007

Metaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such as TV over the Internet, radio over the Internet, and multipoint video streaming-require reduced bandwidth consumption, end-to-end delay, and packet loss ratio. It is necessary to design and to provide for these kinds of applications as well as for those resources necessary for ...

Multiobjective Optimization: Interactive and Evolutionary Approaches (Lecture Notes in Computer Science)

Springer, 2008

Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different ...

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