Optimization models based on a nonlinear systems description
often possess multiple local optima. The objective of Global
Optimization (GO) is to find the best possible solution of
multiextremal problems. This volume illustrates the applicability
of GO modeling techniques and solution strategies to real-world
problems. Coverage extends to a broad range of applications, from
agroecosystem management to robot design. Proposed solutions
encompass a range of practical and viable methods.
General
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