Global Optimization: Scientific and Engineering Case Studies

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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.

Global Optimization: Scientific and Engineering Case Studies 2010, Springer-Verlag New York Inc., New York, NY

ISBN-13: 9781441940230

Paperback

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Global Optimization: Scientific and Engineering Case Studies 2006, Springer, New York, NY

ISBN-13: 9780387304083

2006 edition

Hardcover

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