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Global Optimization (Paperback, 1989 ed.)
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Global Optimization (Paperback, 1989 ed.)
Series: Lecture Notes in Computer Science, 350
Expected to ship within 10 - 15 working days
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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.
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