Recently, multi-objective optimization (MOP) has been highly required to deal with complex and global decision environment toward agile and flexible manufacturing. To facilitate its wide application, we developed a novel method named MOON (Multi-Objective optimization with value function mode led by Neural Network) as a Web-based application. By that, everyone can engage in MOP readily and easi...

Mixtures of polynomials (MoPs) are a non-parametric density estimation technique for hybrid Bayesian networks with continuous and discrete variables. We propose two methods for learning MoP approximations of conditional densities from data. Both approaches are based on learning MoP approximations of the joint density and the marginal density of the conditioning variables, but they differ as to ...

A number of methods for multiple-objective optimization problems (MOP) give as solution to MOP the set of optimal solutions for some single-objective optimization problems associated with it. Well-known examples of these single-objective optimization problems are the minsum and the minmax. In this note, we propose a new parametric single-objective optimization problem associated with MOP by mea...

The Toll signaling pathway is required for the innate immune response against fungi and Gram-positive bacteria in Drosophila. Here we show that the endosomal proteins Myopic (Mop) and Hepatocyte growth factor-regulated tyrosine kinase substrate (Hrs) are required for the activation of the Toll signaling pathway. This requirement is observed in cultured cells and in flies, and epistasis experime...

A MOP has five key steps: team formation; baseline analysis; benchmarking; project definition; implementation, monitoring and feedback. In the MOP approach, technical and business intellect is substituted for capital and equipment. Baseline analysis provides the current performance, variation of key production and process elements, and provides the data for cause and effect analysis. A MOP look...

This paper proposes an innovative approach to improve the classification performance of Persian texts. The proposed method uses a thesaurus as a helpful knowledge to obtain more representative word-frequencies in the corpus. Two types of word relationships are considered in our used thesaurus. This is the first attempt to use a Persian thesaurus in the field of Persian information retrieval. Ex...

In this article, we have introduced the first parallel corpus of Persian with more than 10 other European languages. This article describes primary steps toward preparing a Basic Language Resources Kit (BLARK) for Persian. Up to now, we have proposed morphosyntactic specification of Persian based on EAGLE/MULTEXT guidelines and specific resources of MULTEXT-East. The article introduces Persian ...

A remarkable part of the skills of human experts rendering services in hazardous and dynamic factory environments is their ability to continue performing a job while reacting to adapt their posture to sudden changes in the environment such as upcoming obstacles. Possession of these typical human skills that can be defined in a set of linguistic objectives, will help building flexible and more d...

In the Indian traditional system of medicine Operculina turpethum is commonly used to treat various ailments including peptic ulcer, inflammation, and pain. Ulcer preventive and ulcer protective activities of HAOP and MOP stem bark extracts of Operculina turpethum (100 mg/kg, b.w., orally) were evaluated employing aspirin + pylorus ligation (APL) model in experimental rats. The results suggeste...