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State of the Art in Global Optimization - Computational Methods and Applications (Hardcover, 1996 ed.)
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State of the Art in Global Optimization - Computational Methods and Applications (Hardcover, 1996 ed.)
Series: Nonconvex Optimization and Its Applications, 7
Expected to ship within 10 - 15 working days
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Optimization problems abound in most fields of science,
engineering, and tech nology. In many of these problems it is
necessary to compute the global optimum (or a good approximation)
of a multivariable function. The variables that define the function
to be optimized can be continuous and/or discrete and, in addition,
many times satisfy certain constraints. Global optimization
problems belong to the complexity class of NP-hard prob lems. Such
problems are very difficult to solve. Traditional descent
optimization algorithms based on local information are not adequate
for solving these problems. In most cases of practical interest the
number of local optima increases, on the aver age, exponentially
with the size of the problem (number of variables). Furthermore,
most of the traditional approaches fail to escape from a local
optimum in order to continue the search for the global solution.
Global optimization has received a lot of attention in the past ten
years, due to the success of new algorithms for solving large
classes of problems from diverse areas such as engineering design
and control, computational chemistry and biology, structural
optimization, computer science, operations research, and economics.
This book contains refereed invited papers presented at the
conference on "State of the Art in Global Optimization:
Computational Methods and Applications" held at Princeton
University, April 28-30, 1995. The conference presented current re
search on global optimization and related applications in science
and engineering. The papers included in this book cover a wide
spectrum of approaches for solving global optimization problems and
applications."
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