Weighted recombination is a means for improving the local search performance of evolution strategies. It aims to make effective use of the information available, without significantly increasing computational costs per time step. In this paper, the potential speed-up resulting from using rank-based weighted recombination is investigated. Optimal weights are computed for the sphere model, and co...

This paper discusses the direction toward computational approaches for product variety design. Product variety design here refers to an engineering challenge for designing multiple models simultaneously. This paper de nes the formal representation of product variety design, and proposes a structure of design tasks involved in product variety. The analysis reveals several characteristics of prod...

Data uncertainty is widespread in real-word applications. It has captured a lot of attention, but little job has been paid to the research of cost sensitive algorithm on uncertain data. The paper proposes a novel cost-sensitive Naïve Bayes algorithm CS-DTU for classifying and predicting uncertain datasets. In the paper, we apply probability and statistics theory on uncertain data model, define ...

We introduce a class of restrictions for the ordered paramodulation and superposition calculi (inspired by the basic strategy for narrowing), in which paramodulation inferences are forbidden at terms introduced by substitutions from previous inference steps. In addition we introduce restrictions based on term selection rules and redex orderings, which are general criteria for delimiting the ter...

Strategy parallelism is a powerful concept for applying parMicUsm to automated theorem proving. One of the most important problems to be solved in this approach is the proper distribution of the available resources mnong the different strategies. This task usually requires a lot of user expertise. When the resource distribution has to be done automatically, an adaptive algorithm must be used to...

Evolutionary game theory studies frequency dependent selection. The fitness of a strategy is not constant, but depends on the relative frequencies of strategies in the population. This type of evolutionary dynamics occurs in many settings of ecology, infectious disease dynamics, animal behavior and social interactions of humans. Traditionally evolutionary game dynamics are studied in well-mixed...

We address the following sensor selection problem. We assume that a dynamic system possesses a certain property, call it Property D, when a set G of sensors is used. There is a cost c A associated with each set A of sensors that is a subset of G. Given any set of sensors that is a subset of G, it is possible to determine, via a test, whether the resulting system-sensor combination possesses Pro...

nowadays a growing number of implementing informationtechnology service management (itsm) frameworks proves the trends toimprove the it services and processes in organizations. in order toimplement an itsm projects successfully in an organization, it isessential to select a suitable itsm solution. evaluation and selection ofthe itsm software packages is complicated and time consuming decisionma...

Assessment and selection of suppliers are two most important tasks in the purchasing part in supply chain management. Supplier selection can be considered to be a single or multi-objective problem. From another point of view, it can be a single or multi-sourcing problem. In this paper, an integrated AHP and Fuzzy TOPSIS model is proposed to solve the supplier selection problem. This model makes...