LabVIEW™ is a visual programming environment for data acquisition, instrument control and industrial automation. this article presents LVAD, a graphically programmed implementation of forward mode Automatic Differenti...
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We present CasADi, a free, open-source software tool for fast, yet efficient solution of nonlinear optimization problems in general and dynamic optimization problems in particular. To the developer of algorithms for n...
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We describe an implementation of the Farfel Fortran77 AD extensions (Radul et al. AD in Fortran, Part 1: Design (2012), http://***/abs/1203.1448). these extensions integrate forward and reverse AD directly into the pr...
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In this paper we deal with a capacitated asymmetric allocation hub location problem (CAAHLP). We determine the number of hubs, the locations of hubs, and asymmetric allocation of non-hub nodes to hub withthe objectiv...
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Software product line (SPL) engineering provides a promising approach for developing variant-rich software systems. But, testing of every product variant in isolation to ensure its correctness is in general not feasib...
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this paper proposes a robust-based mean-variance portfolio selection problem with random fuzzy returns using a fuzzy reasoning method, particularly a standard TS fuzzy reasoning method. Arbitrage Pricing theory (APT) ...
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ISBN:
(纸本)9781467327428
this paper proposes a robust-based mean-variance portfolio selection problem with random fuzzy returns using a fuzzy reasoning method, particularly a standard TS fuzzy reasoning method. Arbitrage Pricing theory (APT) is introduced as a future return of each security, and each factor in APT is assumed to be a random fuzzy variable whose mean is derived from a fuzzy reasoning method. Furthermore, under interval inputs of fuzzy reasoning method, a robust programming approach is introduced in order to minimize the worst case of the total variance. the proposed model is equivalently transformed into the deterministic nonlinear programming problem, and so the solution steps to obtain the exact optimal portfolio are developed.
In this paper, we propose an interactive decision making algorithm for two-level linear programming problems under random and fuzzy environments. First we transform the original two-level programming problem with rand...
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ISBN:
(纸本)9781467327428
In this paper, we propose an interactive decision making algorithm for two-level linear programming problems under random and fuzzy environments. First we transform the original two-level programming problem with random fuzzy coefficients into a deterministic one on the basis of probability-possibility maximization. then, we construct an interactive algorithm to obtain a compromise solution for the decision maker at the upper level in consideration of the cooperative relationship between decision makers.
the binary quadratic programming problem (BQP) is an NP-hard problem and has a large number of applications. In this paper, an iterated greedy algorithm with k-opt local search (IGKLS) is proposed for the BQP. Iterate...
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ISBN:
(纸本)9781467327428
the binary quadratic programming problem (BQP) is an NP-hard problem and has a large number of applications. In this paper, an iterated greedy algorithm with k-opt local search (IGKLS) is proposed for the BQP. Iterated greedy (IG) algorithm has already been applied to a variety of optimization problems, and shown to be simple but with excellent search performance. the proposed iterated greedy algorithm consists of two central phases, destruction and construction phases. As a local search algorithm, k-opt local search is applied after the construction phase. the computational results showed that the proposed iterated greedy algorithm outperformed state-of-the-art methods for huge size BQP instances.
To make real-time stereo matching system is the last goal in stereo vision area. we tried to make this system that shows sufficient to be used for many application but not perfect in performance because of the limitat...
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ISBN:
(纸本)9781467308762
To make real-time stereo matching system is the last goal in stereo vision area. we tried to make this system that shows sufficient to be used for many application but not perfect in performance because of the limitation in hardware design. We used trellis algorithm which is advanced version of the Dynamic programming algorithm, and we implemented this algorithm in hardware system. We tested in simulation program, modelsim, and we could see that it makes better results compared to the original algorithm.
Many mobile devices embeds Global positioning system (GPS) to enable tour navigation or pathprogramming. those low-cost consumer-grade GPS receivers usually do not have high accuracy so that a position correction alg...
Many mobile devices embeds Global positioning system (GPS) to enable tour navigation or pathprogramming. those low-cost consumer-grade GPS receivers usually do not have high accuracy so that a position correction algorithm is therefore necessary. this paper proposed a correction technique using genetic programming. this technique requires only two GPS receivers and a known position. Using position information gathered by the receivers we are capable of predicting the correct position. the proposed technique can be implemented without modifying hardware devices or settings. the algorithm generates a correction function constructed by features of NMEA (national Marine Electronics Association) sentences, which is a standard format and is common in most GPS receivers. Experiments are conducted to demonstrate performance of the proposed technique. Positioning error could be reduced significantly.
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