Results 61 to 70 of about 452,561 (173)
Best compromise nutritional menus for childhood obesity.
PLoS ONE, 2020 Childhood obesity is an undeniable reality that has rapidly increased in many countries. Obesity at an early age not only increases the risks of chronic diseases but also produces a problem for the whole healthcare system.
Paul Bello +4 more
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Modeling Multi-Objective, Multi-Product and Multi-Period Supplier Selection Problem Considering Stochastic Demand [PDF]
مدیریت تولید و عملیات, 2018 In this paper, a multi-objective, multi-period and multi-product mixed integer programming model for the supplier selection and quota allocation problem under an all-unit quantity discount policy, constrained storage space and stochastic demand is ...
Mehdi Seifbarghy, Foruzan Naseri
doaj +1 more source
IEEE Access, 2019 This paper addresses the dual-resource constrained flexible job shop scheduling problem (DRCFJSP) with minimizing energy consumption. It is the first to study the energy-conscious DRCFJSP with turn OFF/ ON strategy. Different from the classical FJSP, the
Leilei Meng +3 more
semanticscholar +1 more source
Free Mathematical Modeling System SIMFOR Based on Gfortran Compiler
Современные информационные технологии и IT-образование, 2019 In this article, we present a new mathematical modeling system SIMFOR which is based on Gfortran compiler. We review a modern state of Fortran programming language and characterize main features of modern standard: new data types, modern arrays, support ...
Evgeniy Alekseev +2 more
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Applied Sciences, 2020 This paper deals with a classical problem in power system analysis regarding the optimal location and sizing of distributed generators (DGs) in direct current (DC) distribution networks using the mathematical optimization.
Walter Gil-González +3 more
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Optimiza - un paquete computacional para la optimización de problemas no lineales
Revista de Matemática: Teoría y Aplicaciones, 2009 Our goal is to build a software able to solve problems in non linear optimization. A central point is selection of the algorithm, which is based on Augmented Lagrangian Method combined with quasi-Newton methods (BFGS, L-BFGS).
Gonzalo Palencia F. +2 more
doaj +1 more source
Control optimization, stabilization and computer algorithms for aircraft applications [PDF]
Research related to reliable aircraft design is summarized. Topics discussed include systems reliability optimization, failure detection algorithms, analysis of nonlinear filters, design of compensators incorporating time delays, digital compensator ...
core +1 more source
Applications of numerical optimization methods to helicopter design problems: A survey [PDF]
A survey of applications of mathematical programming methods is used to improve the design of helicopters and their components. Applications of multivariable search techniques in the finite dimensional space are considered.
Miura, H.
core +1 more source
Automatic differentiation in machine learning: a survey [PDF]
, 2018 Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD), also called algorithmic differentiation or simply "autodiff", is a family of techniques similar to but more general than ...
Baydin, Atilim Gunes +3 more
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Sequential Convex Programming Methods for Solving Nonlinear Optimization Problems with DC constraints [PDF]
, 2011 This paper investigates the relation between sequential convex programming (SCP) as, e.g., defined in [24] and DC (difference of two convex functions) programming.
Diehl, Moritz, Quoc, Tran Dinh
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