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Less Is More Approach

In: Discrete Diversity and Dispersion Maximization

Author

Listed:
  • Raca Todosijević

    (Polytechnic University of Hauts-de-France)

  • Dragan Urošević

    (Mathematical Institute of the Serbian Academy of Sciences and Arts)

  • Nenad Mladenović

    (Khalifa University)

  • Jack Brimberg

    (Department of Mathematics and Computer Science, Royal Military College of Canada)

Abstract

This chapter is devoted to the less is more methodology, a new concept for solving optimization problems. Generally speaking, the phrase less is more implies that we use as few resources as possible in doing something while providing the best possible outcome. This approach has been applied successfully in almost all the scientific and art disciplines. However, in the optimization literature, it is relatively a new trend. The less is more philosophy was first introduced to solve two diversity problems. In this chapter we present its general principles, and describe how it was used to solve the Max-Mean diversity problem in 2017 and minimum-differential dispersion problem in 2016.

Suggested Citation

  • Raca Todosijević & Dragan Urošević & Nenad Mladenović & Jack Brimberg, 2023. "Less Is More Approach," Springer Optimization and Its Applications, in: Rafael Martí & Anna Martínez-Gavara (ed.), Discrete Diversity and Dispersion Maximization, chapter 0, pages 191-220, Springer.
    • Handle: RePEc:spr:spochp:978-3-031-38310-6_9
    DOI: 10.1007/978-3-031-38310-6_9
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