This study investigates a hybrid algorithm between Grey Wolf Optimization (GWO) and Cuckoo Search (CS) algorithms to find the parameters of induction motors. The motor have been estimated by using data supplied manufacturer. problem for parameter estimation is formulated as an optimization problem. Then, solved GWO based on CS parameters. Numerical results show that both are capable solving fin...

This paper presents a Modified Shuffled Frog Leaping Algorithm to obtein the optimal number and location of FACTS devices in a power system. Unified Power Flow Controller (UPFC) has great flexibility that can control the active and reactive power flow and bus voltages, simultaneously. Decoupled model of the UPFC is applied to maximize the system loadability subject to the transmission line capa...

Research on intelligent transportation wireless sensor networks (ITWSNs) plays a very important role in an system. ITWSNs deploy high-yield and low-energy-consumption traffic remote sensing nodes with complex parameter coordination both sides of the road use self-organizing capabilities each node to automatically establish entire network. In large-scale self-organization process, importance tas...

Drug addiction is a complex neurobiological disorder that necessitates comprehensive treatment of both the body and mind. It categorized as brain due to its impact on brain. Various methods such electroencephalography (EEG), functional magnetic resonance imaging (FMRI), magnetoencephalography (MEG) can capture activities structures. EEG signals provide valuable insights into neurological disord...

In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)–probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC polymerization reactor, the mapping between the polymerization process data and the fault modes is established. Then, the rough set theory is used to t...

The safe and efficient operation of the integrated energy system is severely hampered by a number unpredictable elements, such as output renewable sources, cost purchases, full demand response (IES). effectiveness excellence scheduling method can be increased with advanced modeling aspects. Thus, IES robust stochastic optimisation model constructed solved hybrid shuffled frog-leaping local sear...

Proper irrigation scheduling and agricultural water management require a precise estimation of crop requirement. In practice, reference evapotranspiration (ETo) is firstly estimated, used further to calculate the each crop. this study, two new coupled models were developed for estimating daily ETo. Two optimization algorithms, shuffled frog-leaping algorithm (SFLA) invasive weed (IWO), on an ad...

In this paper, a new algorithm which is the result of the combination of cellular learning automata and frog leap algorithm (SFLA) is proposed for optimization in continuous, static environments.At the proposed algorithm, each memeplex of frogs is placed in a cell of cellular learning automata. Learning automata in each cell acts as the brain of memeplex, and will determine the strategy of moti...

Activity-based costing (ABC) system more precisely allocates the overhead costs to cost objects (products, services or customers) than traditional costing systems. In ABC, resources are consumed by the activities, and multiple cost drivers are used to allocate the costs of activities to the products. The selection of activity and cost drivers is then highly significant. Using too few cost drive...

Service-oriented architecture provides the ability to combine several web services in order fulfil a user-specific requirement. In dynamic environments, appearance of unforeseen events can destabilize composite service (CWS) and affect its quality. To deal with these issues, must be dynamically reconfigured. Dynamic reconfiguration may enhanced by avoiding invocation degraded predicting QoS for...