نتایج جستجو برای: humidity environment multi objective optimization magnetic field

تعداد نتایج: 2623362  

Journal: :journal of biomedical physics and engineering 0
a. nickfarjam tarbiat modares university, medical physics department, tehran, iran. s. m. p. firoozabadi tarbiat modares university, medical physics department, tehran, iran. b. kalaghchi cancer research center, tehran university of medical sciences, tehran, iran.

background: irreversible electroporation (ire) is a novel tumor ablation technique. ire is associated with high electrical fields and is often reported in conjunction with thermal damage caused by joule heating. for good response to surgery it is crucial to produce minimum thermal damage in both tumoral and healthy tissues named non-thermal irreversible electroporation(ntire). non-thermal irrev...

Journal: :iranian journal of fuzzy systems 0
vahid mohagheghi department of industrial engineering, faculty of engineering, shahed university, tehran, iran s. meysam mousavi department of industrial engineering, faculty of engineering, shahed university, tehran, iran behnam vahdani faculty of industrial and mechanical engineering, qazvin branch, islamic azad university, qazvin, iran

organizations need to evaluate project proposals and select the ones that are the most effective in reaching the strategic goals by considering sustainability issue. in order to enhance the effectiveness and the efficiency of project oriented organizations, in this paper a new multi-objective decision making (modm) approach of sustainable project portfolio selection is proposed which applies in...

2014
VINCENT ROBERGE

An essential aspect of efficiency control of a three-phase induction motor is the ability to generate the optimal magnetic flux required for different operating modes. In this paper, we use the genetic algorithm (GA), the particle swarm optimization algorithm (PSO) and the simulated annealing (SA) to cope with the complexity of the problem and compute feasible and quasi-optimal magnetic flux ne...

2011
Eduardo Ibanez Dionysios C. Aliprantis William Q. Meeker Sarah M. Ryan Arun K. Somani

Journal: :Informatica, Lith. Acad. Sci. 2016
Zhen Zhang Chonghui Guo

In this paper, we focus on group decision making problems with uncertain preference ordinals, in which the weight information of decision makers is completely unknown or partly unknown. First of all, the consistency and deviation measures between two uncertain preference ordinals are defined. Based on the two measures, a multi-objective optimization model which aims to maximize the deviation of...

2014
Qi Yue Yuhua Li

A novel method is proposed for solving the two-sided matching problem under incomplete score environment. The two-sided matching problem with incomplete scores is firstly described. Then the formula of satisfaction degree is given. To maximize the satisfaction degree of each agent, a multi-objective optimization model is set up. Considering equal priority of each agent of one side, the multi-ob...

Ayşegül Tuş Işık Esra Aytac¸ Adalı

A decision making process requires the values of conflicting objectives for alternatives and the selection of the best alternative according to the needs of decision makers. Multi-objective optimization methods may provide solution for this selection. In this paper it is aimed to present the laptop selection problem based on MOORA plus full multiplicative form (MULTIMOORA) and multi-objective o...

Journal: :Int. J. Approx. Reasoning 2006
Fernando Jiménez José Manuel Cadenas Gracia Sánchez Antonio F. Gómez-Skarmeta José L. Verdegay

In fuzzy optimization it is desirable that all fuzzy solutions under consideration be attainable, so that the decision maker will be able to make ‘‘a posteriori’’ decisions according to current decision environments. No additional optimization runs will be needed when the decision environment changes or when the decision maker needs to evaluate several decisions to establish the most appropriat...

2017
Daniel Horn Melanie Dagge Xudong Sun Bernd Bischl

In many real-world applications concerning multi-objective optimization, the true objective functions are not observable. Instead, only noisy observations are available. In recent years, the interest in the effect of such noise in evolutionary multi-objective optimization (EMO) has increased and many specialized algorithms have been proposed. However, evolutionary algorithms are not suitable if...

2009
Krishn Mishra Shailesh Tiwari Akash Punhani

Predicting the yield of various aromatic plants with the help

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