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This volume contains selected papers presented at the
"International Workshop on Computationally Intensive Methods in
Simulation and Op th th timization" held from 23 to 25 August 1990
at the International Institute for Applied Systems Analysis (nASA)
in La~enburg, Austria. The purpose of this workshop was to evaluate
and to compare recently developed methods dealing with optimization
in uncertain environments. It is one of the nASA's activities to
study optimal decisions for uncertain systems and to make the
result usable in economic, financial, ecological and resource
planning. Over 40 participants from 12 different countries
contributed to the success of the workshop, 12 papers were selected
for this volume. Prof. A. Kurzhanskii Chairman of the Systems and
Decision Sciences Program nASA Preface Optimization in an random
environment has become an important branch of Applied Mathematics
and Operations Research. It deals with optimal de cisions when only
incomplete information of t.he future is available. Consider the
following example: you have to make the decision about the amount
of production although the future demand is unknown. If the size of
the de mand can be described by a probability distribution, the
problem is called a stochastic optimization problem.
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