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Learning Boolean logic models of signaling networks with ASP
(Elsevier Science, 2015-09)
Boolean networks provide a simple yet powerful qualitative modeling approach in systems biology. However, manual identification of logic rules underlying the system being studied is in most cases out of reach. Therefore, ...
Risk aversion and the Pareto frontier of a dynamic principal-agent model: an evolutionary approximation
(Centro de Investigación y Docencia Económicas, División de Economía, 2016)
Diseño de filtros adaptativos para reconocimiento de objetos utilizando técnicas de optimización combinatoria multi-objetivo.
(Alejandra Serrano Trujillo, 2016-10-28)
En este trabajo de tesis se presenta un nuevo enfoque para el diseño de filtros de correlación aplicados en el reconocimiento de objetos, que emplea técnicas de optimización combinatoria multi-objetivo. Comúnmente, los ...
Integrated database approach in multi-objective network reconfiguration for distribution system using discrete optimisation techniques
(Inst Engineering Technology-iet, 2018-02-27)
Reconfiguring the link between buses is a crucial task to enhance the distribution system performance. Reconfiguration is a complex combinatorial process due to numerous feasible solutions. Therefore, to consistently find ...
Transgenética computacional aplicada a problemas de otimização combinatória com múltiplos objetivos
(Universidade Tecnológica Federal do ParanáCuritibaPrograma de Pós-Graduação em Engenharia Elétrica e Informática Industrial, 2012-02-29)
The Computational Transgenetic is a metaphor for the development of evolutionary algorithms based on the theory of evolution endosymbiotic and other intracellular interactions flow. Several algorithms have been developed ...
Traveling Backpacker Problem with priorities: mono-objective and multi-objective formulations
(Universidade Federal de São Paulo, 2023-04-28)
The Traveling Backpacker Problem (TBP) is a combinatorial optimization problem whose goal is to define a minimum-cost route in low-cost airlines. In the TBP, a limited travel time is imposed, as well as the number of stay ...
Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology
(Cartagena de Indias, 2023)
The design of an efficient energy management system (EMS) for monopolar DC networks with high penetration of photovoltaic generation plants is addressed in this research through a convex optimization point of view. The EMS ...
Per-instance algorithm configuration: from meta-learning to multi-objective decomposition
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Elétrica e Informática IndustrialUTFPR, 2021-12-13)
The search for the best algorithm and its configuration is a difficult task on most optimization scenarios, especially on NP-hard problems, since different proposed metaheuristics exist, and testing many parameters demands ...
Evolutionary multi-objective scheduling procedures in non-standardized production processesProcedimientos de programación evolutiva multiobjetivo en procesos productivos no estandarizados
(Universidad Nacional de Colombia. Facultad de Minas. Centro de Publicaciones, 2012-04)
Scheduling problems can be seen as multi-objective optimization problems (MOPs), involving the simultaneous satisfaction of several goals related to the optimal design, coordination and management of tasks. The complexity ...