Authors: Todosijević, Raca 
Urošević, Dragan 
Mladenović, Nenad 
Brimberg, Jack
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Less Is More Approach
Series/Report no.: Springer Optimization and Its Applications
First page: 191
Last page: 220
Related Publication(s): Discrete Diversity and Dispersion Maximization
Issue Date: 1-Jan-2023
ISBN: 978-3-031-38309-0
978-3-031-38310-6
ISSN: 1931-6828
DOI: 10.1007/978-3-031-38310-6_9
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.
Publisher: Springer Link

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