نتایج جستجو برای: frontier algorithm

تعداد نتایج: 767089  

Journal: :تحقیقات مالی 0
سعید قدوسی کارشناس‎ارشد مدیریت مالی، دانشگاه تهران، تهران، ایران رضا تهرانی دانشیار مدیریت مالی، دانشکدۀ مدیریت دانشگاه تهران، تهران، ایران مهدی بشیری دانشیار مهندسی صنایع، دانشکدۀ فنی دانشگاه شاهد، تهران، ایران

the markowitz issue of optimization can’t be solved by precise mathematical methods such as second order schematization, when real world condition and limitations are considered. on the other hand, most managers prefer to manage a small portfolio of available assets in place of a huge portfolio. it can be analogized to cardinal constrains, that is, constrains related to minimum and maximum curr...

Journal: :تحقیقات مالی 0
رضا راعی دانشیار دانشکده مدیریت دانشگاه تهران، ایران هدایت علی بیکی دانشجوی کارشناسی ارشد مدیریت مالی دانشکده مدیریت دانشگاه تهران

the markowitz’s optimization problem is considered as a standard quadratic programming problem that has exact mathematical solutions. considering real world limits and conditions, the portfolio optimization problem is a mixed quadratic and integer programming problem for which efficient algorithms do not exist. therefore, the use of meta-heuristic methods such as neural networks and evolutionar...

Journal: :Operations Research 2008
Michael Masin Yossi Bukchin

One of the most common approaches for multiobjective optimization is to generate the whole or partial efficient frontier and then decide about the preferred solution in a higher-level decision-making process. In this paper, a new method for generating the efficient frontier for multiobjective problems is developed, called the diversity maximization approach (DMA). This approach is capable of so...

2013
Benny Van Houdt

Garbage collection algorithms have a profound impact on the performance and life span of flash-based solid state drives. Recently, the d-choices garbage collection algorithm was shown to provide an excellent tradeoff between simplicity and performance [21]. In this paper, we introduce the d-choices garbage collection algorithm with memory and analyze its write performance using both synthetic a...

2004
Yasutaka Furukawa Amit Sethi Jean Ponce David J. Kriegman

This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained viewpoints. In this setting, the only reliable image features are the object’s silhouettes, and the only true stereo correspondence between pairs of silhouettes are the frontier points where two viewing rays intersec...

Journal: :International Journal of Advanced Robotic Systems 2019

2008
Eduardo Fernandez Edy Lopez Sergio Bernal Carlos Coello Jorge Navarro

One aspect that is often disregarded in evolutionary multiobjective research is the fact that the solution of a problem involves not only search but decision making. Most of approaches concentrate on adapting an evolutionary algorithm to generate the Pareto frontier. In this work we present a new idea to incorporate preferences in MOEA. We introduce a binary fuzzy preference relation that expre...

1999
E. M. Aitnouri S. Wang D. Ziou J. Vaillancourt L. Gagnon

An algorithm for determination of the number of modes in a gray-level image histogram is presented in this paper. The hypothesis is that the image histogram’s pdf is approached by a mixture of Gaussians. Then, the algorithm tries to estimate the number of components in the mixture, which is an important parameter when using the maximum likelihood technique to estimate the remaining of parameter...

2010
Joseph W. Durham Antonio Franchi Francesco Bullo

This paper addresses a visibility-based pursuit-evasion problem in which a team of mobile robots with limited sensing and communication capabilities must coordinate to detect any evaders in an unknown, multiply-connected planar environment. Our distributed algorithm can guarantee evader detection and is built around maintaining complete coverage of the frontier between cleared and contaminated ...

Journal: :Auton. Robots 2012
Joseph W. Durham Antonio Franchi Francesco Bullo

This paper addresses a visibility-based pursuit-evasion problem in which a team of mobile robots with limited sensing and communication capabilities must coordinate to detect any evaders in an unknown, multiply-connected planar environment. Our distributed algorithm to guarantee evader detection is built around maintaining complete coverage of the frontier between cleared and contaminated regio...

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