A hybrid genetic algorithm for multiway graph partitioning is proposed. The algorithm includes an e cient local optimization heuristic. Starting at an initial solution, the heuristic iteratively improves the solution using cyclic movements of vertices. The suggested heuristic performed well in itself and as a local optimization engine in the hybrid genetic algorithm. Combined with the framework...

First-order interfacial phaselike transformations that break the mirror symmetry of the symmetric ∑5 (210) tilt grain boundary (GB) are discovered by combining a modified genetic algorithm with hybrid Monte Carlo and molecular dynamics simulations. Density functional theory calculations confirm this prediction. This first-order coupled structural and adsorption transformation, which produces tw...

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 ...