Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Leonardo Lai"'
Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels
Publikováno v:
IEEE Transactions on Evolutionary Computation. 25:971-985
This article concerns the study of mixed Pareto-lexicographic multiobjective optimization problems where the objectives must be partitioned in multiple priority levels (PLs). A PL is a group of objectives having the same importance in terms of optimi
Publikováno v:
Cloud Computing and Services Science
Communications in Computer and Information Science ISBN: 9783030723682
CLOSER (Selected Papers)
Communications in Computer and Information Science ISBN: 9783030723682
CLOSER (Selected Papers)
This paper presents an extension to a software framework designed to evaluate the efficiency of different software and hardware-accelerated virtual switches, each commonly adopted on Linux to provide virtual network connectivity to containers in high
Publikováno v:
Università di Pisa-IRIS
This work aims at reviewing the state of the art of the field of lexicographic multi/many-objective optimization. The discussion starts with a review of the literature, emphasizing the numerous application in the real life and the recent burst receiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56f352144071fa52fb0e11e16bbcda51
http://hdl.handle.net/11568/1140479
http://hdl.handle.net/11568/1140479
Publikováno v:
Emergence, Complexity and Computation ISBN: 9783030936419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5d814d3e170c0def3fdbc999d819127
https://doi.org/10.1007/978-3-030-93642-6_8
https://doi.org/10.1007/978-3-030-93642-6_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030720612
EMO
EMO
This paper studies a class of mixed Pareto-Lexicographic multi-objective optimization problems where the preference among the objectives is available in different priority levels (PLs) before the start of the optimization process – akin to many pra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::745f66276e31da263fc417dfc9420eda
https://doi.org/10.1007/978-3-030-72062-9_29
https://doi.org/10.1007/978-3-030-72062-9_29
Autor:
Leonardo Laipelt, Julia Brusso Rossi, Bruno Comini de Andrade, Morris Scherer-Warren, Anderson Ruhoff
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3404 (2024)
The expansion of cropland in tropical regions has significantly accelerated in recent decades, triggering an escalation in water demand and changing the total water loss to the atmosphere (evapotranspiration). Additionally, the increase in areas dedi
Externí odkaz:
https://doaj.org/article/6ac2513775344e6d92ddde39f997cbaf
This paper introduces a new class of optimization problems, called Mixed Pareto-Lexicographic Multi-objective Optimization Problems (MPL-MOPs), to provide a suitable model for scenarios where some objectives have priority over some others. Specifical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db69d2e5ac07fa49dd6d8c3e5719bad3
http://hdl.handle.net/11568/1038012
http://hdl.handle.net/11568/1038012
Autor:
Ayan Santos Fleischmann, Leonardo Laipelt, Fabrice Papa, Rodrigo Cauduro Dias de Paiva, Bruno Comini de Andrade, Walter Collischonn, Marcelo Sacardi Biudes, Rafael Kayser, Catherine Prigent, Eric Cosio, Nadja Gomes Machado, Anderson Ruhoff
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Evapotranspiration (ET) is a key process linking surface and atmospheric energy budgets, yet its drivers and patterns across wetlandscapes are poorly understood worldwide. Here we assess the ET dynamics in 12 wetland complexes across South A
Externí odkaz:
https://doaj.org/article/70e7c1603a1f4ff9b65d5774e183bc06
Autor:
Leonardo Laipelt, Bruno Comini de Andrade, Walter Collischonn, Alexandre de Amorim Teixeira, Rodrigo Cauduro Dias de Paiva, Anderson Ruhoff
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2321 (2024)
Digital elevation models (DEMs) have a wide range of applications and play a crucial role in many studies. Numerous public DEMs, frequently acquired using radar and optical satellite imagery, are currently available; however, DEM datasets tend to exh
Externí odkaz:
https://doaj.org/article/d666bd9d5db140959472dad0ddd09366