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978-3-540-46103-6
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9783540461036
978-3-540-46103-6
10.1007/3-540-50871-6
doi
eng
QA297-299.4
PBKS
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MAT021000
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MAT006000
bisacsh
518
23
Törn, Aimo.
editor.
Global Optimization
[electronic resource] /
edited by Aimo Törn, Antanas Žilinskas.
Berlin, Heidelberg :
Springer Berlin Heidelberg,
1989.
Berlin, Heidelberg :
Springer Berlin Heidelberg,
1989.
XII, 260 p.
online resource.
text
txt
rdacontent
computer
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rdamedia
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Lecture Notes in Computer Science,
0302-9743 ;
350
Covering methods -- Methods of generalized descent -- Random search methods -- Clustering methods -- Methods based on statistical models of objective functions -- Miscellaneous -- Testing and applications.
Global optimization is concerned with finding the global extremum (maximum or minimum) of a mathematically defined function (the objective function) in some region of interest. In many practical problems it is not known whether the objective function is unimodal in this region; in many cases it has proved to be multimodal. Unsophisticated use of local optimization techniques is normally inefficient for solving such problems. Therefore, more sophisticated methods designed for global optimization, i.e. global optimization methods, are important from a practical point of view. Most methods discussed here assume that the extremum is attained in the interior of the region of interest, i.e., that the problem is essentially unconstrained. Some methods address the general constrained problem. What is excluded is the treatment of methods designed for problems with a special structure, such as quadratic programming with negatively quadratic forms. This book is the first broad treatment of global optimization with an extensive bibliography covering research done both in east and west. Different ideas and methods proposed for global optimization are classified, described and discussed. The efficiency of algorithms is compared by using both artificial test problems and some practical problems. The solutions of two practical design problems are demonstrated and several other applications are referenced. The book aims at aiding in the education, at stimulating the research in the field, and at advising practitioners in using global optimization methods for solving practical problems.
Mathematics.
Algorithms.
Numerical analysis.
Distribution (Probability theory).
Statistics.
Mathematics.
Numerical Analysis.
Probability Theory and Stochastic Processes.
Statistics, general.
Algorithms.
Systems and Information Theory in Engineering.
Žilinskas, Antanas.
editor.
SpringerLink (Online service)
Springer eBooks
Printed edition:
9783540508717
Lecture Notes in Computer Science,
0302-9743 ;
350
http://dx.doi.org/10.1007/3-540-50871-6
ZDB-2-SCS
ZDB-2-LNC
EB
7213
7213