Expansion of distance education (DE) is one of the characteristics of the information society by which we can judge the level of development in a society. As we witnessed many changes in Slovenia in the last ten years we were interested in what is happening in DE as a modern way of education.DE in Slovenia is still developing, so the institutions that offer it are rather rare. An exception is t...

Generally, transportation costs account for approximately half of the total operation expenses a logistics firm. Therefore, any effort to optimize planning vehicle routing would be substantially beneficial company. This study focuses on postman delivery problem Chiang Rai post office, located in province Thailand. In this study, two metaheuristic methods—particle swarm optimization (PSO) and di...

this paper presents the results of a comprehensive study on the efficiency of planar parallel mechanisms, considering their kinetostatic performance and also, their workspace. this aim is approached upon proceeding single- and multi-objective optimization procedures. kinetostatic performances of ten different planar parallel mechanisms are analyzed by resorting to a recent index, kinematic sens...

in this study, an image backlight compensation method using adaptive luminance modification is proposed for efficiently obtaining clear images.the proposed method combines the fuzzy c-means clustering method, a recurrent functional neural fuzzy network (rfnfn), and a modified differential evolution.the proposed rfnfn is based on the two backlight factors that can accurately detect the compensat...

Semilinear stochastic evolution equations with multiplicative Poisson noise and monotone nonlinear drift in Hilbert spaces are considered‎. ‎The coefficients are assumed to have linear growth‎. ‎We do not impose coercivity conditions on coefficients‎. ‎A novel method of proof for establishing existence and uniqueness of the mild solution is proposed‎. ‎Examples on stochastic partial differentia...

Differential Evolution (DE) is one of the most successful and powerful evolutionary algorithms for global optimization problem. The most important operator in this algorithm is mutation operator which parents are selected randomly to participate in it. Recently, numerous papers are tried to make this operator more intelligent by selection of parents for mutation intelligently. The intelligent s...