Abstract
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.
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Acknowledgements
The work of N. Mladenovic is partially supported by the Khalifa University of Science and Technology under Award No. RC2 DSO, and by the Committee of Science of Ministry of Education and Science of the Republic of Kazakhstan under the grant number AP08856034. The work of P.M. Pardalos was conducted within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE).The work of D. Urosevic is partially supported by the Serbian Ministry of Education, Science and Technological Development through Mathematical Institute of the Serbian Academy of Sciences and Arts.
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Mladenović, N., Pei, J., Pardalos, P.M. et al. Less is more approach in optimization: a road to artificial intelligence. Optim Lett 16, 409–420 (2022). https://doi.org/10.1007/s11590-021-01818-w
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DOI: https://doi.org/10.1007/s11590-021-01818-w