Suchergebnisse - numerical mathematical programming methods

Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming von Dai, Yu-Hong, Fletcher, Roger

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An M/M/c queue model for hub covering location problem von Mohammadi, Mehrdad, Jolai, Fariborz, Rostami, Hamideh

“… The hub location problem appears in a variety of applications including airline systems, cargo delivery systems, and telecommunication network design. Hub …”
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Computational methods for solving fully fuzzy linear systems von Dehghan, Mehdi, Hashemi, Behnam, Ghatee, Mehdi

“… Since many real-world engineering systems are too complex to be defined in precise terms, imprecision is often involved in any engineering design process …”
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Two-stage genetic programming (2SGP) for the credit scoring model von Huang, Jih-Jeng, Tzeng, Gwo-Hshiung, Ong, Chorng-Shyong

“… In this paper, two-stage genetic programming (2SGP) is proposed to deal with the credit scoring problem by incorporating the advantages of the IF …”
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Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems von Mavrotas, George

“… As indicated by the most widely accepted classification, the Multi-Objective Mathematical Programming (MOMP …”
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Solving multi-choice linear programming problems by interpolating polynomials von Biswal, M.P., Acharya, S.

“… After establishing interpolating polynomials of all multi-choice parameters, a mathematical programming problem is formulated …”
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Multiscale phenomena: Green's functions, the Dirichlet-to-Neumann formulation, subgrid scale models, bubbles and the origins of stabilized methods von Hughes, Thomas J.R.

“… An approach is developed for deriving variational methods capable of representing multiscale phenomena …”
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A solution to the optimal power flow using genetic algorithm von Osman, M.S., Abo-Sinna, M.A., Mousa, A.A.

“… Optimal power flow (OPF) is one of the main functions of power generation operation and control. It determines the optimal setting of generating units. It is …”
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Online hierarchical scheduling: An approach using mathematical programming von Tan, Zhiyi, Zhang, An

“… Both the algorithm and the lower bound are based on solutions of mathematical programming. For any given m , our algorithm is optimal by numerical calculation. For the integral model, we present both a general algorithm for any m , and an improved algorithm with better competitive ratios of 2.333 and 2.610 for m = 4 and 5, respectively …”
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A hybrid shuffled complex evolution approach based on differential evolution for unconstrained optimization von Mariani, Viviana Cocco, Justi Luvizotto, Luiz Guilherme, Guerra, Fábio Alessandro, dos Santos Coelho, Leandro

“… Numerous optimization methods have been proposed for the solution of the unconstrained optimization problems, such as mathematical programming methods, stochastic global optimization approaches, and metaheuristics …”
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The mean-absolute deviation portfolio selection problem with interval-valued returns von Liu, Shiang-Tai

“… of two-level mathematical programming models to calculate the lower and upper bounds of the investment return …”
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A new exact exponential penalty function method and nonconvex mathematical programming von Antczak, Tadeusz

“… with both inequality and equality constraints. The l 1 exact exponential penalty function method is used to solve nonconvex mathematical programming problems with r-invex functions …”
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New parametric prioritization methods for an analytical hierarchy process based on a pairwise comparison matrix von Huo, Liang-an, Lan, Jibin, Wang, Zhongxing

“… To derive the priorities of alternatives, a series of theorems and mathematical programming models is given based on a pairwise comparison matrix …”
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Theory and Applications of Robust Optimization von Bertsimas, Dimitris, Brown, David B., Caramanis, Constantine

“… In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO). Our focus is on the computational …”
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Exact penalty functions and calmness for mathematical programming under nonlinear perturbations von Uderzo, A.

“… In the present paper, the effects of nonlinear perturbations of constraint systems are considered over the relationship between calmness and exact penalization, within the context of mathematical …”
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Interactive fuzzy random two-level linear programming through fractile criterion optimization von Sakawa, Masatoshi, Katagiri, Hideki, Matsui, Takeshi

“… In this paper, assuming cooperative behavior of the decision makers, solution methods for decision making problems in hierarchical organizations under fuzzy random environments are considered …”
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Gbest-guided artificial bee colony algorithm for numerical function optimization von Zhu, Guopu, Kwong, Sam

“… ) solution into the solution search equation to improve the exploitation. The experimental results tested on a set of numerical benchmark functions show that GABC algorithm can outperform ABC algorithm in most of the experiments …”
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Fuzzy multi-product constraint newsboy problem von Shao, Zhen, Ji, Xiaoyu

“… In this paper, we consider the multi-product newsboy problem with fuzzy demands under budget constraint. Since the demands of products are often fuzzy in real …”
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The l1 exact G-penalty function method and G-invex mathematical programming problems von ANTCZAK, Tadeusz

“… Further, we introduce a new exact penalty function method, called the l₁ exact G-penalty function method and use it to solve nonconvex mathematical programming problems with G-invex functions …”
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Fuzzy linear regression models with least square errors von Modarres, M., Nasrabadi, E., Nasrabadi, M.M.

“… To estimate the parameters of fuzzy linear regression models with fuzzy output and crisp inputs, we develop a mathematical programming model in this paper …”
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