Overview

The evolutionary approach called scatter search originated from strategies for creating composite decision rules and surrogate constraints. Contemporary studies demonstrate the practical advantages of this approach for solving a diverse array of optimization problems from both classical and real world settings. Scatter search contrasts with other evolutionary procedures, such as genetic algorithms, by providing unifying principles for joining solutions based on generalized path constructions in Euclidean space and by utilizing strategic designs where other approaches resort to randomization. The book's goal is to provide the basic principles and fundamental ideas that will allow the readers to create successful applications of scatter search. The book includes the C source code of the methods introduced in each chapter.

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9781402073762

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From the reviews: <p> The book Scatter Search by Manuel Laguna and Rafael Marti a ] provides an excellent introduction to this advanced optimization methodology. a ] Different from most other books in this field, this book comes along with a rich variety of illustrative examples for various optimization problems a ] . This significantly helps to gain an in-depth understanding of the methodology and enables readers to develop state-of-the-art implementations on their own. a ] With this book, the authors have created an excellent reference both for researchers and practitioners. (Stephan Scheuerer, OR-News, Issue 23, March, 2005)

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