Abstract   Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning algorithms are deficiencies of FWNNs in previous studies. In this paper, a Memetic Algorithm (MA) is introduced to train FWNN for addressing aforementioned learning lacks. Differential Evolution...

there are different strategies for selecting stocks, and different investors use different strategies according to their risk tolerance or their expected rate of return. in this study, the profitability of a broad range of stock se-lection strategies in tehran stock exchange over the period 1370-1383, has been examined, and it has been investigated whether the successful strategies in other cou...

An elitist selection adaptive Genetic Algorithm is presented to select an optimal cloud service composite plan from a lot of composite plans on the basis of global Qualityof-Service (QoS) constraints. In this Algorithm, some strategies are provided to improve convergence and population diversity and raise fitness result. These strategies include an elitist selection strategy, an individual sele...

Effective and congestion-aware routing is vital to the performance of network-on-chip. The efficient routing algorithm undoubtedly relies on the considered selection strategy. If the routing function returns a number of more than one permissible output ports, a selection function is exploited to choose the best output port to reduce packets latency. In this paper, we introduce a new selection s...

We study evolutionary prisoner's dilemma game by considering adaptive strategy-selection time scale among individuals according to a "win-slower, lose-faster" rule: if an individual successfully resists the invasion of an opponent, she is prone to hold her strategy for longer time through decreasing her strategy-selection time scale; otherwise, she increases the time scale because of losing. We...

In this paper, we explore the use of genetic algorithms (GAs) to construct a system called GABIL that continually learns and refines concept classification rules from its interaction with the environment. The performance of this system is compared with that of two other concept learners (NEWGEM and C4.5) on a suite of target concepts. From this comparison, we identify strategies responsible for...

knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. the km strategy selection is a complex decision that requires consideration of several factors. for evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. the identified factors and their impact on kno...