Titlebook: Learning and Intelligent Optimization; 16th International C Dimitris E. Simos,Varvara A. Rasskazova,Panos M. P Conference proceedings 2022

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ADOPT

Integer Linear Programming in Solving an Optimization Problem at the Mixing Department of the Metalla special set of variables, which allowed one to formalize both a complex system of constraints an objective function..To demonstrate an effectiveness and powerful of the proposed approach, there were carried out a computational experiment using real-world data on the mixing department processes at the metallurgical production.

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GLUE

0302-9743 took place in Milos Island, Greece, in June 2022..The 36 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 60 submissions. LION deals with automatic solver configuration, parallel methods, intelligent optimization, nature-inspired algorithms, hard com

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SCORE

Optimal Scheduling of the Leaves of a Tree and the SVO Frequencies of Languagesfrom modeling language generation in the brain. We show that optimality considerations in this problem provide a new explanation for an intriguing phenomenon in linguistics, namely that certain ways of ordering the subject, verb, and object in a sentence are far more common in world languages than others.

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Optimal Energy Management of Microgrid Using Multi-objective Optimisation Approachh Algorithm based on direct multi-search is proposed to ensure optimal management of the microgrid. According to the non-dominated resulting points, several scenarios are proposed and compared. The effectiveness of the algorithm is validated, giving a compromised choice between two criteria: energy cost and GHG emissions.

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