نتایج جستجو برای: locally risk minimizing approach

تعداد نتایج: 2257710  

2014
J. C. Plaizier

Ruminal acidosis is a common disease in high yielding dairy cows, during which the rumen pH is depressed for several hours per day. There is no general agreement of the definition of the disease, and its diagnosis based on rumen pH measurement is invasive and inaccurate. As a result, the disease often goes unnoticed, and its impact is not well recognized. Surveys suggest a prevalence of between...

2006
DaeEun Kim

Tree induction algorithms use heuristic information to obtain decision tree classification. However, there has been little research on how many rules are appropriate for a given set of data, that is, how we can find the best structure leading to desirable generalization performance. In this chapter, an evolutionary multi-objective optimization approach with genetic programming will be applied t...

Abbas Mahmoudabadi, Seyed Mohammad Seyedhosseini

Allocating and routing problems in the field of transportation engineering are generally solved using the objective function of minimizing transport cost. Transport risk is a main concern in hazardous material transportation, mainly dependent on the vision of decision makers (national and/or local authorities). In this research work, a trade-off approach has been proposed to determine the safes...

Journal: :Physics in medicine and biology 2015
Hamidreza Badri Jagdish Ramakrishnan Kevin Leder

Metastasis is the process by which cells from a primary tumor disperse and form new tumors at distant anatomical locations. The treatment and prevention of metastatic cancer remains an extremely challenging problem. This work introduces a novel biologically motivated objective function to the radiation optimization community that takes into account metastatic risk instead of the status of the p...

Journal: :Journal of Computational and Applied Mathematics 2017

2006
Vassilios N. Christopoulos Paul R. Schrater Paul Schrater

This paper addresses a new approach to the problem of selecting contact locations for grasping in the presence of shape and contact location uncertainty. Focusing on twodimensional planar objects and two-finger grasps for simplicity, we present a principled approach for selecting contact points by minimizing the risk of force-closure failure. The key contribution of the paper is the risk measur...

2009
Benjamin A. Berman

The opinions that I express in this paper are based on a thorough review that I conducted of industry standards and procedures for risk management, FMEA techniques, and FMEA applications in aviation and other industries. I also base these opinions on my 25 years of experience in transportation management and analysis, airline flight operations, safety investigation management, safety research, ...

This paper presents a multi-objective simulated annealing algorithm for the mixed-model assembly line balancing with stochastic processing times. Since, the stochastic task times may have effects on the bottlenecks of a system, maximizing the weighted line efficiency (equivalent to the minimizing the number of station), minimizing the weighted smoothness index and maximizing the system reliabil...

Journal: :CoRR 2017
Jishnu Sadasivan Chandra Sekhar Seelamantula Nagarjuna Reddy Muraka

The goal in speech enhancement is to obtain an estimateof clean speech starting from the noisy signal by minimizing a chosendistortion measure, which results in an estimate that depends onthe unknown clean signal or its statistics. Since access to suchprior knowledge is limited or not possible in practice, one hasto estimate the clean signal statistics. In this paper, we dev...

The increment integration of renewable distributed energies means the desired operation of the electric power system will significantly depend on the performance of primary energy. In this order, an integrated approach for mutual interaction between the electricity and natural gas systems has been considered for the purpose of ensuring optimal energy exchanging between the electric power system...

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