Wireless Sensor Networks are the new generation of networks that typically are formed great numbers of nodes and the communications of these nodes are done as Wireless. The main goal of these networks is collecting data from neighboring environment of network sensors. Since the sensor nodes are battery operated and there is no possibility of charging or replacing the batteries, the lifetime of ...

in this study, an optimization model is proposed to design a global supply chain (gsc) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of economic cooperation organization trade agreement (ecota) is...

Energy use of sensor nodes efficiently and extending the lifetime heterogeneous wireless networks (HWSNs) is a main goal HWSNs routing optimization methods, therefore building an energy-efficient protocol becomes critical for HWSN performance improvement. They present based on grey wolf optimizer (GWO) Tabu search algorithm (TSA) in this paper. Proposed system with primary objectives include cl...

The heap-based optimizer (HBO) is an innovative meta-heuristic inspired by human social behavior. In this research, binary adaptations of the B_HBO are presented and used to determine optimal features for classifications in wrapping form. addition, HBO balances exploration exploitation employing self-adaptive parameters that can adaptively search solution domain solution. feature selection doma...

Tsallis entropy is a flexible extension of Shanon (logarithm) entropy. Since measures indeterminacy an uncertain random variable, this paper proposes the concept partial for variables as devise in chance theory. An approach calculating variables, based on Monte Carlo simulation, provided. As application finance, invoked to optimize portfolio selection returns via crow search algorithm.