In this work, a novel binary version of the grey wolf optimization (GWO) is proposed and used to select optimal feature subset for classification purposes. Grey wolf optimizer (GWO) is one of the latest bioinspired optimization techniques, which simulate the hunting process of grey wolves in nature. The binary version introduced here is performed using two different approaches. In the first app...

In this paper, the problem of population districting in the health system of South Khorasan province has been investigated in the form of an optimization problem. Now that the districting problem is considered as a strategic matter, it is vital to obtain efficient solutions in order to implement in the system. Therefore in this study two meta-heuristic algorithms, Ant Lion Optimizer (ALO) and G...

The revolution of IoT and its capabilities to serve various fields led generating a large amount data for processing. Tasks that require an instant response, especially with sensitive delay tasks send the fog node due close distance, complex transfer cloud center huge computation storage. However, sending decreases transmission delay. Still, it increases energy consumption end users, while tran...

Optimal energy management has become a challenging task to accomplish in today’s advanced systems. If is managed the most optimal manner, tremendous societal benefits can be achieved such as improved economy and less environmental pollution. It possible operate microgrids under grid-connected, well isolated modes. The authors presented new optimization algorithm, i.e., Oppositional Gradient-bas...

With the development of power modules for high voltage, temperature, and density, their size is becoming smaller, packaging insulation experiences higher electrical, thermal, mechanical stress. Packaging needs to meet requirement that internal electric field, stress should be as low possible. Focusing on coupling principles optimization design among stresses in module insulation, a multi-object...

In this paper, we present a set of optimal graphene-based multilayer surface plasmon resonance (SPR) biosensors for highly sensitive detection biomolecules. To optimize the biosensor structure, employed multi-objective gray wolf optimizer (MOGWO) to maximize sensitivity and minimize structure full width at half maximum (FWHM). The main advantages optimized structures are high sensitivity, low F...