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Scatter Search

In: Discrete Diversity and Dispersion Maximization

Author

Listed:
  • Manuel Laguna

    (University of Colorado Boulder)

  • Anna Martínez-Gavara

    (University of Valencia)

  • Rafael Martí

    (University of Valencia)

Abstract

Scatter search (SS) is a population-based metaheuristic introduced in the late 1970s as a heuristic for integer programming problems. The main concepts and principles are based on combining solution vectors, making limited use of randomization. Its flexibility in the development of the implementation has been shown very effective in the resolution of hard optimization problems, leading to high-quality solutions. This chapter provides the framework of the SS methodology, from the broader and more general case to the particular one of the diversity and dispersion problems. Specifically, two different SS designs have been described in detailed to solve a specific dispersion problem, the capacitated dispersion problem.

Suggested Citation

  • Manuel Laguna & Anna Martínez-Gavara & Rafael Martí, 2023. "Scatter Search," Springer Optimization and Its Applications, in: Rafael Martí & Anna Martínez-Gavara (ed.), Discrete Diversity and Dispersion Maximization, chapter 0, pages 253-269, Springer.
    • Handle: RePEc:spr:spochp:978-3-031-38310-6_11
    DOI: 10.1007/978-3-031-38310-6_11
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