Scatter Search

1. Front Matter

   Pages i-xvii

   PDF

2. Introduction

   • Manuel Laguna, Rafael Martí

   Pages 1-21

3. TUTORIAL

   • Manuel Laguna, Rafael Martí

   Pages 23-47

4. Tutorial

   • Manuel Laguna, Rafael Martí

   Pages 49-68

5. Tutorial

   • Manuel Laguna, Rafael Martí

   Pages 69-87

6. Advanced Scatter Search Designs

   • Manuel Laguna, Rafael Martí

   Pages 89-122

7. Use of Memory in Scatter Search

   • Manuel Laguna, Rafael Martí

   Pages 123-139

8. Connections with Other Population-Based Approaches

   • Manuel Laguna, Rafael Martí

   Pages 141-183

9. Scatter Search Applications

   • Manuel Laguna, Rafael Martí

   Pages 185-218

10. Commercial Scatter Search Implementation

    • Manuel Laguna, Rafael Martí

    Pages 219-254

11. Experiences and Future Directions

    • Manuel Laguna, Rafael Martí

    Pages 255-276

12. Erratum to: Scatter Search – Methodology and Implementations in C

    • Manuel Laguna, Rafael Martí

    Pages E1-E1

13. Back Matter

    Pages 277-291

    PDF

The book Scatter Search by Manuel Laguna and Rafael Martí represents a long-awaited "missing link" in the literature of evolutionary methods. Scatter Search (SS)-together with its generalized form called Path Relinking-constitutes the only evolutionary approach that embraces a collection of principles from Tabu Search (TS), an approach popularly regarded to be divorced from evolutionary procedures. The TS perspective, which is responsible for introducing adaptive memory strategies into the metaheuristic literature (at purposeful level beyond simple inheritance mechanisms), may at first seem to be at odds with population-based approaches. Yet this perspective equips SS with a remarkably effective foundation for solving a wide range of practical problems. The successes documented by Scatter Search come not so much from the adoption of adaptive memory in the range of ways proposed in Tabu Search (except where, as often happens, SS is advantageously coupled with TS), but fromthe use of strategic ideas initially proposed for exploiting adaptive memory, which blend harmoniously with the structure of Scatter Search. From a historical perspective, the dedicated use of heuristic strategies both to guide the process of combining solutions and to enhance the quality of offspring has been heralded as a key innovation in evolutionary methods, giving rise to what are sometimes called "hybrid" (or "memetic") evolutionary procedures. The underlying processes have been introduced into the mainstream of evolutionary methods (such as genetic algorithms, for example) by a series of gradual steps beginning in the late 1980s.

• algorithms
• code
• evolution
• genetic algorithms
• knowledge
• linear optimization
• memory
• nonlinear optimization
• optimization
• problem solving
• programming
• scheduling

From the reviews:

"The book Scatter Search by Manuel Laguna and Rafael Marti … provides an excellent introduction to this advanced optimization methodology. … Different from most other books in this field, this book comes along with a rich variety of illustrative examples for various optimization problems … . 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. … With this book, the authors have created an excellent reference both for researchers and practitioners." (Stephan Scheuerer, OR-News, Issue 23, March, 2005)

• University of Colorado, USA

  Manuel Laguna

• University of Valencia, Spain

  Rafael Martí

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