Authors: Mladenović, Nenad 
Pei, Jun
Pardalos, Panos M.
Urošević, Dragan 
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Less is more approach in optimization: a road to artificial intelligence
Journal: Optimization Letters
Volume: 16
First page: 409
Last page: 420
Issue Date: 2022
Rank: M22
ISSN: 1862-4472
DOI: 10.1007/s11590-021-01818-w
The main idea of Less is more approach (LIMA) is using as fewer as possible ingredients to provide the best possible outcome. This approach has been used successfully almost in all the scientific and art disciplines. Recently, the idea has also been successfully explored in solving hard optimization problems. In this note we first define the dominance relation between two algorithms that includes their simplicity as well. Then we propose the general LIMA algorithm and discuss automatic ways to include common ingredients of all search algorithms, increasing the algorithms complexity in a systematic way. That kind of approach may represent a road from Optimization to Artificial Intelligence and Machine learning. Finally, we illustrate LIMA algorithm on two optimization problems and show its efficiency.
Keywords: Artificial intelligence | Less is more approach | Metaheuristics | Optimization | Variable neighborhood search
Publisher: Springer Link

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