Suchergebnisse - Mixed discrete nonlinear programming problem

On an exact penalty function method for nonlinear mixed discrete programming problems and its applications in search engine advertising problems von Ma, Cheng, Zhang, Liansheng

“… In this paper, we study a new exact and smooth penalty function for the nonlinear mixed discrete programming problem by augumenting only one variable no matter how many constraints …”
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An exact penalty function method for nonlinear mixed discrete programming problems von Yu, Changjun, Teo, Kok Lay, Bai, Yanqin

“… In this paper, we consider a general class of nonlinear mixed discrete programming problems …”
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Optimization of shell-and-tube heat exchangers using a general design approach motivated by constructal theory von Yang, Jie, Oh, Sun-Ryung, Liu, Wei

“… The simplified version of this design approach is suggested and the optimization problem formulations are given …”
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A Multi-fidelity Approach to Address Multi-objective Constrained Mixed-discrete Nonlinear Programming Problems with Application to Greener Aircraft Design von Jain, Samarth

“… Engineering problems often involve solving constrained multi-objective Mixed-Discrete Nonlinear Programming (MDNLP) problems …”
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A modified Primal–Dual Logarithmic-Barrier Method for solving the Optimal Power Flow problem with discrete and continuous control variables von Soler, Edilaine Martins, de Sousa, Vanusa Alves, da Costa, Geraldo R.M.

“… The Optimal Power Flow problem is modeled as a large-scale mixed-discrete nonlinear programming problem …”
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Mixed-integer nonlinear optimization von Belotti, Pietro, Kirches, Christian, Leyffer, Sven, Linderoth, Jeff, Luedtke, James, Mahajan, Ashutosh

“… These decision problems lead to mixed-integer nonlinear programming (MINLP) problems that combine the combinatorial difficulty of optimizing over discrete variable sets with the challenges of handling nonlinear functions …”
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A NEW APPROACH TO NONLINEAR MIXED DISCRETE PROGRAMMING PROBLEMS von WANG, S., TEO, K. L., LEE, H. W. J.

“… In this paper a novel method is developed for the numerical solution of a non-linear mixed discrete programming problem …”
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Continuous reformulations of discrete–continuous optimization problems von Stein, Oliver, Oldenburg, Jan, Marquardt, Wolfgang

“… This paper treats the solution of nonlinear optimization problems involving discrete decision variables, also known as generalized disjunctive programming (GDP …”
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Systematic modeling of discrete-continuous optimization models through generalized disjunctive programming von Grossmann, Ignacio E., Trespalacios, Francisco

“… Discrete‐continuous optimization problems are commonly modeled in algebraic form as mixed …”
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Simultaneous optimization of nonsharp distillation sequences and heat integration networks by simulated annealing algorithm von Zhang, Shuo, Luo, Yiqing, Ma, Yingjie, Yuan, Xigang

“… First, the synthesis problem is formulated as an implicit mixed-integer nonlinear programming problem …”
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A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming von Nema, S., Goulermas, J., Sparrow, G., Cook, P.

“… This paper proposes a new algorithm for solving mixed discrete nonlinear programming (MDNLP …”
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Power generation expansion planning with emission control: a nonlinear model and a GA-based heuristic approach von Sirikum, Jiraporn, Techanitisawad, Anulark

“… The problem is formulated into a mixed integer nonlinear programming (MINLP) program that determines the most economical investment plan for additional thermal power …”
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A differential evolution algorithm for solving mixed-integer nonlinear programming problems von Molina-Pérez, Daniel, Mezura-Montes, Efrén, Portilla-Flores, Edgar Alfredo, Vega-Alvarado, Eduardo, Calva-Yañez, Bárbara

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Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming von Lu, Yuehong, Wang, Shengwei, Sun, Yongjun, Yan, Chengchu

“… The mixed-integer nonlinear programming approach is used to solve their optimal scheduling problems of energy systems in building integrated with energy generation and thermal energy storage in this study …”
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Integrating lot-sizing and pricing decisions in multi-channel markets with discrete menus of prices von Terzi, Mourad, Ouazene, Yassine, Yalaoui, Alice, Yalaoui, Farouk

“… Initially, the problem is formulated as a non-convex mixed-integer nonlinear programming (MINLP) model that incorporates production capacity constraints and a discrete menu of prices for each channel …”
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MINLP‐based hybrid strategy for operating mode selection of TES‐backed‐up refrigeration systems von Bejarano, Guillermo, Rodríguez, David, Lemos, João M., Vargas, Manuel, Ortega, Manuel G.

“… ‐integer nonlinear programming (MINLP) since it includes both discrete and continuous variables …”
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Source-based discrete and continuous-time formulations for the crude oil pooling problem von Castro, Pedro M.

“… Following recent work for multiperiod pooling problems of refined petroleum products, a source-based mixed-integer nonlinear programming formulation is proposed for discrete and continuous representations of time …”
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Linearization of Euclidean norm dependent inequalities applied to multibeam satellites design von Camino, Jean-Thomas, Artigues, Christian, Houssin, Laurent, Mourgues, Stéphane

“… regions or cost functions. When some other variables have discrete domains, it positions the problem in the challenging Mixed Integer Nonlinear Programming (MINLP) class …”
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Logic-Based Discrete-Steepest Descent: A solution method for process synthesis Generalized Disjunctive Programs von Ovalle, Daniel, Liñán, David A., Lee, Albert, Gómez, Jorge M., Ricardez-Sandoval, Luis, Grossmann, Ignacio E., Bernal Neira, David E.

“… While reformulating GDP problems as Mixed-Integer Nonlinear Programming (MINLP) problems is common, specialized algorithms for GDP remain scarce …”
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MINLP optimization model for the nonlinear discrete time–cost trade-off problem von Klanšek, Uroš, Pšunder, Mirko

“… This paper presents the mixed-integer nonlinear programming (MINLP) optimization model for the nonlinear discrete time …”
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