Application of Neural Network Models for Mathematical Programming Problems: A State of Art Review
Sign Up to like & getrecommendations! Published in 2020 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-018-09309-5
Abstract: Artificial neural networks or neural networks (NN) are new computational models based on the working of biological neurons of human body. A NN model consists of an interactive system through which external or internal information… read more here.
Keywords: neural network; review; network models; programming problems ... See more keywords
On Semi-infinite Mathematical Programming Problems with Equilibrium Constraints Using Generalized Convexity
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Operations Research Society of China"
DOI: 10.1007/s40305-019-00263-y
Abstract: In this paper, we consider semi-infinite mathematical programming problems with equilibrium constraints (SIMPPEC). By using the notion of convexificators, we establish sufficient optimality conditions for the SIMPPEC. We formulate Wolfe and Mond–Weir-type dual models for… read more here.
Keywords: problems equilibrium; mathematical programming; infinite mathematical; programming problems ... See more keywords
Uncertainty analysis for structures with hybrid random and interval parameters using mathematical programming approach
Sign Up to like & getrecommendations! Published in 2017 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2017.03.066
Abstract: Abstract A novel computational method, namely the unified perturbation mathematical programming (UPMP) approach, for hybrid uncertainty analysis of engineering structures is proposed in this paper. The presented study considers a mixture of random and interval… read more here.
Keywords: uncertainty analysis; mathematical programming; approach;
A bottom-up model of industrial energy system with positive mathematical programming
Sign Up to like & getrecommendations! Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2019.02.020
Abstract: Abstract The bottom-up model of the industrial energy system has hitherto been analyzed using linear programming. However, it has limitations in describing practical technology selection and reproducing base-year technology selection. Positive mathematical programming, which provides… read more here.
Keywords: programming; positive mathematical; energy; bottom model ... See more keywords
A two-step mathematical programming framework for undercut horizon optimization in block caving mines
Sign Up to like & getrecommendations! Published in 2020 at "Resources Policy"
DOI: 10.1016/j.resourpol.2020.101586
Abstract: Abstract The definition of caving economic limits is one of the initial steps in the planning and design of caving projects. This paper proposes a binary optimization framework to integrate the caving envelope and production… read more here.
Keywords: mathematical programming; step mathematical; framework; two step ... See more keywords
Mathematical programming for nominating exchange students for international universities: The impact of stakeholders’ objectives and fairness constraints on allocations
Sign Up to like & getrecommendations! Published in 2020 at "Socio-economic Planning Sciences"
DOI: 10.1016/j.seps.2020.100974
Abstract: Abstract We consider the problem of nominating exchange students to attend international universities where places are limited. We take into account three objectives: The sending university aims to maximize the number of nominations, the students… read more here.
Keywords: mathematical programming; academic achievements; international universities; exchange students ... See more keywords
Econometric mathematical programming: an application to the estimation of costs and risk preferences at farm level
Sign Up to like & getrecommendations! Published in 2019 at "Agricultural Economics"
DOI: 10.1111/agec.12476
Abstract: This study belongs to the barely explored research strand of “Econometric Mathematical Programming” and presents a simultaneous estimation of the cost function and of the farmers’ risk attitude parameter in a programming model setup. Resource… read more here.
Keywords: application; level; estimation; econometric mathematical ... See more keywords
A Generalization of the Karush–Kuhn–Tucker Theorem for Approximate Solutions of Mathematical Programming Problems Based on Quadratic Approximation
Sign Up to like & getrecommendations! Published in 2018 at "Computational Mathematics and Mathematical Physics"
DOI: 10.1134/s0965542518030132
Abstract: In computations related to mathematical programming problems, one often has to consider approximate, rather than exact, solutions satisfying the constraints of the problem and the optimality criterion with a certain error. For determining stopping rules… read more here.
Keywords: mathematical programming; kuhn tucker; approximate solutions; programming problems ... See more keywords
Implementation of Circular Economy through the Mathematical Programming for the Complex System Evaluation
Sign Up to like & getrecommendations! Published in 2019 at "Chemical engineering transactions"
DOI: 10.3303/cet1976088
Abstract: The current trends in the waste management field point to the circular economy. This system has been also projected in the EU directives and legislation, specifically Circular Economy Package, which gives the targets about recycling… read more here.
Keywords: system; evaluation; economy; circular economy ... See more keywords