Mathematical Programming, ISSN 0025-5610, 2/2018, Volume 167, Issue 2, pp. 235 - 292

The last decade witnessed an explosion in the availability of data for operations research applications. Motivated by this growing availability, we propose a...

Hypothesis testing | 62H15 (Multivariate Analysis: Hypothesis Testing) | Theoretical, Mathematical and Computational Physics | Mathematics | 80M50 (Optimization: Operations research, mathematical programming) | Mathematical Methods in Physics | Robust optimization | Chance-constraints | Calculus of Variations and Optimal Control; Optimization | Mathematics of Computing | Numerical Analysis | Combinatorics | Data-driven optimization | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | VALUE-AT-RISK | UNCERTAINTY | GOODNESS-OF-FIT | Investment analysis | Management science | Business schools | Analysis | Concrete | Information management | Portfolio management | Mathematical optimization | Operations research | Uncertainty | Statistical analysis | Optimization techniques | Queues | Nonlinear programming | Design optimization

Hypothesis testing | 62H15 (Multivariate Analysis: Hypothesis Testing) | Theoretical, Mathematical and Computational Physics | Mathematics | 80M50 (Optimization: Operations research, mathematical programming) | Mathematical Methods in Physics | Robust optimization | Chance-constraints | Calculus of Variations and Optimal Control; Optimization | Mathematics of Computing | Numerical Analysis | Combinatorics | Data-driven optimization | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | VALUE-AT-RISK | UNCERTAINTY | GOODNESS-OF-FIT | Investment analysis | Management science | Business schools | Analysis | Concrete | Information management | Portfolio management | Mathematical optimization | Operations research | Uncertainty | Statistical analysis | Optimization techniques | Queues | Nonlinear programming | Design optimization

Journal Article

Journal of Optimization Theory and Applications, ISSN 0022-3239, 7/2018, Volume 178, Issue 1, pp. 240 - 263

First-order methods with momentum, such as Nesterovâ€™s fast gradient method, are very useful for convex optimization problems, but can exhibit undesirable...

Optimized gradient method | 90C06 | Mathematics | Theory of Computation | First-order methods | Optimization | Restarting | Calculus of Variations and Optimal Control; Optimization | Convex optimization | 90C25 | Operations Research/Decision Theory | Applications of Mathematics | Engineering, general | Accelerated gradient methods | 80M50 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | CONVERGENCE | ALGORITHMS | Analysis | Methods | Algorithms | Computational geometry | Parameters | Control charts | First order algorithms | Cost function | Convexity | Iterative methods | Convex analysis | Convergence | Mathematics - Optimization and Control

Optimized gradient method | 90C06 | Mathematics | Theory of Computation | First-order methods | Optimization | Restarting | Calculus of Variations and Optimal Control; Optimization | Convex optimization | 90C25 | Operations Research/Decision Theory | Applications of Mathematics | Engineering, general | Accelerated gradient methods | 80M50 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | CONVERGENCE | ALGORITHMS | Analysis | Methods | Algorithms | Computational geometry | Parameters | Control charts | First order algorithms | Cost function | Convexity | Iterative methods | Convex analysis | Convergence | Mathematics - Optimization and Control

Journal Article

Measurement, ISSN 0263-2241, 03/2017, Volume 99, pp. 171 - 184

â€¢We propose a new measurement methodology of the magnetic field produced by laptop.â€¢Methodology extends TCO standard and measures the magnetic field variation...

Laptop | TCO | Frequency range | 78A25 | Magnetic field radiation | 62H30 | Clustering | 80M50 | NUMBER | INSTRUMENTS & INSTRUMENTATION | ENGINEERING, MULTIDISCIPLINARY | EXPOSURE | Laptop computers | Magnetic fields | Radiation | Notebook computers | Algorithms | Analysis

Laptop | TCO | Frequency range | 78A25 | Magnetic field radiation | 62H30 | Clustering | 80M50 | NUMBER | INSTRUMENTS & INSTRUMENTATION | ENGINEERING, MULTIDISCIPLINARY | EXPOSURE | Laptop computers | Magnetic fields | Radiation | Notebook computers | Algorithms | Analysis

Journal Article

Positivity, ISSN 1385-1292, 7/2018, Volume 22, Issue 3, pp. 783 - 802

In this study, some new order relations on family of sets are introduced by using Minkowski difference. The relations between these orders and the ordering...

Optimality conditions | Operator Theory | Fourier Analysis | Potential Theory | Calculus of Variations and Optimal Control; Optimization | Scalarization | Mathematics | 90C26 | Econometrics | 80M50 | Partial order | Set optimization | MATHEMATICS | RESPECT | VECTOR OPTIMIZATION | VALUED OPTIMIZATION | MAPS | CONES | CONJUGATE DUALITY | Family | Domestic relations | Interval arithmetic | Optimization | Mathematical programming

Optimality conditions | Operator Theory | Fourier Analysis | Potential Theory | Calculus of Variations and Optimal Control; Optimization | Scalarization | Mathematics | 90C26 | Econometrics | 80M50 | Partial order | Set optimization | MATHEMATICS | RESPECT | VECTOR OPTIMIZATION | VALUED OPTIMIZATION | MAPS | CONES | CONJUGATE DUALITY | Family | Domestic relations | Interval arithmetic | Optimization | Mathematical programming

Journal Article

Natural Computing, ISSN 1567-7818, 12/2017, Volume 16, Issue 4, pp. 661 - 675

Developing efficient algorithms for solving multi-objective optimization problems is a challenging and essential task in many applications. This task involves...

Processor Architectures | Complex Systems | Summation of normalized objective values method and multi-objective evolutionary programming | Theory of Computation | 90C27 | 74P99 | Multi-objective optimization problems | Computer Science | Artificial Intelligence (incl. Robotics) | Differential evolution | 65K10 | 13P25 | Evolutionary Biology | 80M50 | PERFORMANCE ASSESSMENT | LOCAL SEARCH | OPTIMIZATION | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | GENETIC ALGORITHM | Analysis | Algorithms | Objectives | Optimization algorithms | Multiple objective analysis | Strategy | Evolutionary algorithms | Mathematical programming

Processor Architectures | Complex Systems | Summation of normalized objective values method and multi-objective evolutionary programming | Theory of Computation | 90C27 | 74P99 | Multi-objective optimization problems | Computer Science | Artificial Intelligence (incl. Robotics) | Differential evolution | 65K10 | 13P25 | Evolutionary Biology | 80M50 | PERFORMANCE ASSESSMENT | LOCAL SEARCH | OPTIMIZATION | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | GENETIC ALGORITHM | Analysis | Algorithms | Objectives | Optimization algorithms | Multiple objective analysis | Strategy | Evolutionary algorithms | Mathematical programming

Journal Article

Zeitschrift fÃ¼r angewandte Mathematik und Physik, ISSN 0044-2275, 2/2019, Volume 70, Issue 1, pp. 1 - 33

In a preceding paper, we have studied the radiative heating of a semi-transparent body $$\varOmega $$ Î© (e.g., glass) by a black radiative source S surrounding...

35K61 | Theoretical and Applied Mechanics | Backward parabolic linear equation | Engineering | Mathematical Methods in Physics | 49J20 | Optimal control problem | Nonlinear parabolic equation with an integral 0-order term | First-order necessary optimality condition | 35Q79 | Nonlinear boundary condition of the Robin type | Cost functional | 80M50 | MATHEMATICS, APPLIED | BOUNDARY CONTROL | SIMULATION | Electromagnetic radiation | Electromagnetism | Analysis | Electromagnetic waves | Electric waves

35K61 | Theoretical and Applied Mechanics | Backward parabolic linear equation | Engineering | Mathematical Methods in Physics | 49J20 | Optimal control problem | Nonlinear parabolic equation with an integral 0-order term | First-order necessary optimality condition | 35Q79 | Nonlinear boundary condition of the Robin type | Cost functional | 80M50 | MATHEMATICS, APPLIED | BOUNDARY CONTROL | SIMULATION | Electromagnetic radiation | Electromagnetism | Analysis | Electromagnetic waves | Electric waves

Journal Article

Japan Journal of Industrial and Applied Mathematics, ISSN 0916-7005, 11/2018, Volume 35, Issue 3, pp. 1085 - 1101

Data-driven computing in applied mechanics utilizes the material data set directly, and hence is free from errors and uncertainties stemming from the...

Outlier | Robust statistics | 90C20 | Computational Mathematics and Numerical Analysis | 62J05 | Model-free computational mechanics | Mathematics | Applications of Mathematics | Local regression | 80M50 | Data-driven computing | LINEAR-REGRESSION | MATHEMATICS, APPLIED | BIG DATA | WEIGHTED REGRESSION | SIMULATION | Mathematics - Numerical Analysis

Outlier | Robust statistics | 90C20 | Computational Mathematics and Numerical Analysis | 62J05 | Model-free computational mechanics | Mathematics | Applications of Mathematics | Local regression | 80M50 | Data-driven computing | LINEAR-REGRESSION | MATHEMATICS, APPLIED | BIG DATA | WEIGHTED REGRESSION | SIMULATION | Mathematics - Numerical Analysis

Journal Article

Journal of Optimization Theory and Applications, ISSN 0022-3239, 10/2017, Volume 175, Issue 1, pp. 172 - 193

Cyclone separators are widely used in a variety of industrial applications. A low-mass loading gas cyclone is characterized by two performance parameters,...

68Uxx | 68U20 | Cyclone separator | Sparse Kriging | 68T05 | 68T37 | 76Dxx | 90-08 | Mathematics | Theory of Computation | Recursive co-Kriging | Optimization | Surrogate-based optimization (SBO) | Multi-fidelity data | 97M10 | Calculus of Variations and Optimal Control; Optimization | 76Txx | Operations Research/Decision Theory | Applications of Mathematics | Engineering, general | 49Q10 | 80M50 | 93A30 | CFD | MATHEMATICS, APPLIED | DESIGN | TOOLBOX | PERFORMANCE | SIMULATION | ARTIFICIAL NEURAL-NETWORKS | PRESSURE-DROP | DIMENSIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | FLOW PATTERN | GLOBAL OPTIMIZATION | Usage | Models | Algorithms | Mathematical optimization | Analysis | Resveratrol | Multiple objective analysis | Design parameters | Fluid dynamics | Computational fluid dynamics | Computer simulation | Shape optimization | Pareto optimization | Industrial applications | Parameter sensitivity | Separators | Stokes law (fluid mechanics) | Kriging | Cyclone separators | Design optimization | Geometry | Cyclones | Mathematical models

68Uxx | 68U20 | Cyclone separator | Sparse Kriging | 68T05 | 68T37 | 76Dxx | 90-08 | Mathematics | Theory of Computation | Recursive co-Kriging | Optimization | Surrogate-based optimization (SBO) | Multi-fidelity data | 97M10 | Calculus of Variations and Optimal Control; Optimization | 76Txx | Operations Research/Decision Theory | Applications of Mathematics | Engineering, general | 49Q10 | 80M50 | 93A30 | CFD | MATHEMATICS, APPLIED | DESIGN | TOOLBOX | PERFORMANCE | SIMULATION | ARTIFICIAL NEURAL-NETWORKS | PRESSURE-DROP | DIMENSIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | FLOW PATTERN | GLOBAL OPTIMIZATION | Usage | Models | Algorithms | Mathematical optimization | Analysis | Resveratrol | Multiple objective analysis | Design parameters | Fluid dynamics | Computational fluid dynamics | Computer simulation | Shape optimization | Pareto optimization | Industrial applications | Parameter sensitivity | Separators | Stokes law (fluid mechanics) | Kriging | Cyclone separators | Design optimization | Geometry | Cyclones | Mathematical models

Journal Article

Journal of Optimization Theory and Applications, ISSN 0022-3239, 9/2016, Volume 170, Issue 3, pp. 713 - 734

In the present contribution, a feedback control law is studied for a quasilinear parabolic equation. First, we prove the well-posedness and some regularity...

35K20 | Monotone nonlinearities | Mathematics | Theory of Computation | 35K59 | Feedback control | 34H05 | Optimization | Convex sets | Calculus of Variations and Optimal Control; Optimization | Quasilinear parabolic equation | Applications of Mathematics | Engineering, general | Operation Research/Decision Theory | 80M50 | 93B52 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SLIDING MOTIONS | Studies | Nonlinear equations | Cauchy problems | Mathematical analysis | Feedback control systems | Obstacles | Constraints | Evolution | Convexity | Regularity

35K20 | Monotone nonlinearities | Mathematics | Theory of Computation | 35K59 | Feedback control | 34H05 | Optimization | Convex sets | Calculus of Variations and Optimal Control; Optimization | Quasilinear parabolic equation | Applications of Mathematics | Engineering, general | Operation Research/Decision Theory | 80M50 | 93B52 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SLIDING MOTIONS | Studies | Nonlinear equations | Cauchy problems | Mathematical analysis | Feedback control systems | Obstacles | Constraints | Evolution | Convexity | Regularity

Journal Article

Flexible Services and Manufacturing Journal, ISSN 1936-6582, 6/2016, Volume 28, Issue 1, pp. 62 - 89

The stochastic nature of both patient arrivals and lengths of stay leads inevitably to periodic bed shortages in healthcare units. Physicians are challenged to...

Manufacturing, Machines, Tools | Optimization | Engineering | 93E20 | 93C65 | Simulation | Healthcare | Queuing theory | ICU | Operation Research/Decision Theory | 60K25 | 80M50 | Operations Management | Control problem | BED CAPACITY | PERFORMANCE | LENGTH-OF-STAY | DISCHARGE | DISCRETE-EVENT SIMULATION | NEED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ENGINEERING, MANUFACTURING | Health care industry | Studies | Intensive care | Health care | Policies | Arrivals | Mathematical analysis | Control systems | Patients

Manufacturing, Machines, Tools | Optimization | Engineering | 93E20 | 93C65 | Simulation | Healthcare | Queuing theory | ICU | Operation Research/Decision Theory | 60K25 | 80M50 | Operations Management | Control problem | BED CAPACITY | PERFORMANCE | LENGTH-OF-STAY | DISCHARGE | DISCRETE-EVENT SIMULATION | NEED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | ENGINEERING, MANUFACTURING | Health care industry | Studies | Intensive care | Health care | Policies | Arrivals | Mathematical analysis | Control systems | Patients

Journal Article

Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 05/2015, Volume 44, Issue 5, pp. 1364 - 1387

The method of choosing the best boundaries that make strata internally homogenous as far as possible is known as optimum stratification. To achieve this, the...

Nonlinear programming problem | Stratified sampling | Log-normal distribution | Optimum sample size | Optimum stratification | Dynamic programming technique | Secondary 80M50 | Multistage decision problem | Primary 62D05 | DESIGN | STATISTICS & PROBABILITY | VARIANCE | STRATIFICATION | Samples | Strata | Mathematical models | Frequency distribution | Statistical methods | Variance | Optimization | Boundary layer

Nonlinear programming problem | Stratified sampling | Log-normal distribution | Optimum sample size | Optimum stratification | Dynamic programming technique | Secondary 80M50 | Multistage decision problem | Primary 62D05 | DESIGN | STATISTICS & PROBABILITY | VARIANCE | STRATIFICATION | Samples | Strata | Mathematical models | Frequency distribution | Statistical methods | Variance | Optimization | Boundary layer

Journal Article

Journal of the Operations Research Society of China, ISSN 2194-668X, 12/2015, Volume 3, Issue 4, pp. 475 - 488

As the applications for modeling of big data and analysis advance in scope, computational efficiency faces greater challenges in terms of storage and speed. In...

62L12 | 97Mxx | 93E24 | Mathematics | Operations Research, Management Science | Big data | Weighted least squares | 80M50 | Sequential estimation | Attributive explanatory variables | Periodic spline

62L12 | 97Mxx | 93E24 | Mathematics | Operations Research, Management Science | Big data | Weighted least squares | 80M50 | Sequential estimation | Attributive explanatory variables | Periodic spline

Journal Article

Computational and Applied Mathematics, ISSN 0101-8205, 3/2017, Volume 36, Issue 1, pp. 89 - 109

The pyrolysis and the combustion processes of grape marc samples are evaluated experimentally through a thermogravimetry analysis, which leads to curves...

Numerical optimization procedure | Pyrolysis | Computational Mathematics and Numerical Analysis | Thermogravimetric analysis | 80A25 | Mathematics | Combustion | Grape marc biomass | Extended IPR model | Mathematical Applications in Computer Science | Applications of Mathematics | Determination of kinetic constants | Mathematical Applications in the Physical Sciences | 80M50 | 80M20 | 93A30 | MATHEMATICS, APPLIED | MODEL | RESIDUES

Numerical optimization procedure | Pyrolysis | Computational Mathematics and Numerical Analysis | Thermogravimetric analysis | 80A25 | Mathematics | Combustion | Grape marc biomass | Extended IPR model | Mathematical Applications in Computer Science | Applications of Mathematics | Determination of kinetic constants | Mathematical Applications in the Physical Sciences | 80M50 | 80M20 | 93A30 | MATHEMATICS, APPLIED | MODEL | RESIDUES

Journal Article

4OR, ISSN 1619-4500, 9/2014, Volume 12, Issue 3, pp. 261 - 283

The problem we address in this paper, is the minimization of the energy consumption of an electrical vehicle achievable on a given driving cycle. This can be...

Energy consumption | Industrial and Production Engineering | 90C26 | Optimization | Discretization techniques | Economics / Management Science | Electrical vehicle | Discrete switch control | Operations Research/Decision Theory | Optimal control | Branch-and-Bound | 65K10 | 80M50 | 49J15 | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Electric vehicles | Energy use | Analysis

Energy consumption | Industrial and Production Engineering | 90C26 | Optimization | Discretization techniques | Economics / Management Science | Electrical vehicle | Discrete switch control | Operations Research/Decision Theory | Optimal control | Branch-and-Bound | 65K10 | 80M50 | 49J15 | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Electric vehicles | Energy use | Analysis

Journal Article

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, ISSN 0022-3239, 06/2019, Volume 181, Issue 3, pp. 946 - 971

In this paper, an analytical expression of the optimal solution for a box-constrained linear symmetric cone optimization problem is proposed. The resulting...

Second-order cone | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Spectral decomposition | 80M50 | Box-constrained linear symmetric cone optimization problem | Queuing theory | Optimization | Algorithms

Second-order cone | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Spectral decomposition | 80M50 | Box-constrained linear symmetric cone optimization problem | Queuing theory | Optimization | Algorithms

Journal Article

Mathematical Methods of Operations Research, ISSN 1432-2994, 2/2011, Volume 73, Issue 1, pp. 29 - 54

This paper proposes a new mathematical framework for the open pit mine planning problem, based on continuous functional analysis. The main challenge for...

Mine planning | Calculus of Variations and Optimal Control; Optimization | Continuous optimization | Operations Research/Decision Theory | 49J50 | Mathematics | Functional analysis | 90C26 | Business/Management Science, general | 80M50 | Calculus of variations | 49J300 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | DUALITY | Mathematical optimization | Analysis | Studies | Mining | Integer programming | Operations research | Optimization | Mixed integer | Mathematical analysis | Programming | Imposition | Mathematical models | Combinatorial analysis | Mines

Mine planning | Calculus of Variations and Optimal Control; Optimization | Continuous optimization | Operations Research/Decision Theory | 49J50 | Mathematics | Functional analysis | 90C26 | Business/Management Science, general | 80M50 | Calculus of variations | 49J300 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | DUALITY | Mathematical optimization | Analysis | Studies | Mining | Integer programming | Operations research | Optimization | Mixed integer | Mathematical analysis | Programming | Imposition | Mathematical models | Combinatorial analysis | Mines

Journal Article

International Journal of Computer Mathematics, ISSN 0020-7160, 05/2019, Volume 96, Issue 5, pp. 883 - 919

The intention of this hybridization is to further enhance the exploratory and exploitative search capabilities involving simple concepts. The proposed...

genetic algorithm | Ant colony optimization | 80M50 optimization | hybrid algorithm | optimization and variational techniques | 90C26 non-convex programming | constrained engineering problem | 65Kxx mathematical programming | 90C27 combinatorial optimization | particle swarm optimization | global optimization | MATHEMATICS, APPLIED | EVOLUTIONARY | SEARCH | GLOBAL OPTIMIZATION | CONSTRAINED OPTIMIZATION | OPERATORS | Operators (mathematics) | Design engineering | Entrapment | Algorithms | Searching | Linearity | Swarm intelligence | Mutation | Crossovers | Genetic algorithms

genetic algorithm | Ant colony optimization | 80M50 optimization | hybrid algorithm | optimization and variational techniques | 90C26 non-convex programming | constrained engineering problem | 65Kxx mathematical programming | 90C27 combinatorial optimization | particle swarm optimization | global optimization | MATHEMATICS, APPLIED | EVOLUTIONARY | SEARCH | GLOBAL OPTIMIZATION | CONSTRAINED OPTIMIZATION | OPERATORS | Operators (mathematics) | Design engineering | Entrapment | Algorithms | Searching | Linearity | Swarm intelligence | Mutation | Crossovers | Genetic algorithms

Journal Article

Journal of Fixed Point Theory and Applications, ISSN 1661-7738, 3/2018, Volume 20, Issue 1, pp. 1 - 11

We establish an existence result for a minimization problem subject to two inequality constraints with respect to two partial orders defined on a complete...

metric space | Mathematical Methods in Physics | inequality constraints | Analysis | 34A45 | Mathematics, general | Minimization | Mathematics | best proximity point | 80M50 | 06A06 | partial order | EXISTENCE | MATHEMATICS | MATHEMATICS, APPLIED | THEOREMS | CONVERGENCE | PROXIMITY

metric space | Mathematical Methods in Physics | inequality constraints | Analysis | 34A45 | Mathematics, general | Minimization | Mathematics | best proximity point | 80M50 | 06A06 | partial order | EXISTENCE | MATHEMATICS | MATHEMATICS, APPLIED | THEOREMS | CONVERGENCE | PROXIMITY

Journal Article

19.