Task scheduling for the cloud is one of main advances in IoMT stage, which impacts whole execution resource. Cloud a proficient headway computation, and it encompasses data storage, management, manipulation large volumes. Thus, proposition being made better approach to proffer task cloud. In this case, new hybrid genetic algorithm (HGA) proposed. The proposed HGA method will be justified by con...

The purpose of this study is designing a model based on Tobit regression, DEA, Artificial Neural Network, Genetic Algorithm and Particle Swarm Optimization to evaluate the efficiency and also benchmarking the efficient and inefficient units. This model has three stages, and it uses the data envelopment analysis combined model with neural network, optimized by genetic algorithm, to evaluate the ...

Assigning facilities to locations is one of the important problems, which significantly is influence in transportation cost reduction. In this study, we solve quadratic assignment problem (QAP), using a meta-heuristic algorithm with deterministic tasks and equality in facilities and location number. It should be noted that any facility must be assign to only one location. In this paper, first o...