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Global Optimization (Lecture Notes in Computer Science)
Global Optimization (Lecture Notes in Computer Science)
Date: 30 April 2011, 09:57

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The continuous, essentially unconstrained optimization problem is addressed.
For many practical optimization problems the unimodality cannot be
proved. On the contrary, rather often these problems have proved multimodal.
Unsophisticated use of local optimization techniques is normally
inefficient for solving such problems. Therefore, more sophisticated methods
designed for global optimization are important from a practical point
of view.
This need has been widely recognized and a big variety of global optimization
methods has been designed. However, it is not clear which
problems some specific method is applicable to. From the separate papers
dealing with specific algorithms it is difficult to draw conclusions which
would make it possible to clarify this point.
One way to overcome this problem is to bring together all approaches
in a single treatise. The first attempt in this direction was the publication
of the two volumes named Towards Global Optimization [Dixon and
Szeg5 1975, 1978], which contained collections of early papers on global
optimization. These books very much accelerated the research activity in
the field
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