Authors:Young Man Ko, Soo-Ryun Cho, and Yong Seok Park
fully refined and the index is still in its pilot operation. Therefore, KF needs further optimization that is based upon expanded data; as the KCI data is further accumulated and verified, the index will improve. Eventually, these improvements should
An approach to optimization of research based on the theory of experiment and scientometrics is proposed. Research is treated as an experiment aimed at attainment of optimal conditions. The following successive phases of optimization have been singled out: selection of optimisation parameters and factors, carrying out the experiment, and processing and interpreting the results obtained. Methods of multidimensional classification and screening are recommended for selection of optimization parameters and factors. Evolutionary operation representations are used at the optimization stage. Problems of optimization research should be tackled in centres of scientific information where data on advances made in various scientific fields are accumulated.
Given a multiobjective optimization problem with the components of the objective function as well as the constraint functions
being composed convex functions, we introduce, by using the Fenchel-Moreau conjugate of the functions involved, a suitable
dual problem. Under a standard constraint qualification and some convexity as well as monotonicity conditions we prove the
existence of strong duality. Finally, some particular cases of this problem are presented.
Рассмотрены невыпук лые экстремальные за дачи без разрывов двойственн ости. Вместо выпуклости исходной задачи введены услов ия гладкости на двойственную зада чу. В качестве примера вычислена оп орная функция пересе чения семейства эллипсоид ов, что дает новый класс двойственных н орм и позволяет сконс труировать двойственную задачу к проблеме минимаксного оценив ания.
The Informetrics Research Group (CERESI/CNRS) was recently created by the Mission for Scientific and Technical Information and Communication of the CNRS. CERESI's goal is to study the impact of computer supported information exchanges on the social processes underlying the construction of scientific knowledge. A better understanding of this impact should help in designing and building scientific and technical information management systems. In this paper, we will focus on one aspect of our work: mapping science and technology in order to build dynamic representations of science and technology.
Authors:Ákos Beke, Sándor Szabó, and Bogdán Zavalnij
 Bomze , I. M. , Budinich , M. , Pardalos , P. M. , and Pelillo , M . The Maximum Clique Problem,Handbook of Combinatorial Optimization , vol. 4 . Kluwer Academic Publisher , 1999 .  Carraghan , R. , and Pardalos , P. M . An
quality, in terms of textual coherence, of partitions of the dataset, where the partitions are obtained on the basis of optimizing weighted modularity.
The remainder of the article is organized as follows. Data and methods are described in the next
methods or conceptual framework aimed at optimization for R&D project portfolios management (Mohr et al. 2008 ; Macmillan and McGrath 2002 ; Carter and Edwards 2001 ; Ringuest and Graves 2005 ; Golabi et al. 1981 ). For example, R&D project portfolio