We report the results of a benchmarking study on hybrid, hybrid-meta, long-range-corrected, meta-generalized gradient approximation (meta-GGA), and GGA density functional theory (DFT) methods for aluminum (Al) clusters. A range of DFT functionals, such as B3LYP, B1B95, PBE0, mPW1PW91, M06, M06-2X, ωB97X, ωB97XD, TPSSh, BLYP, PBE, mPWPW91, M06-L, and TPSS, have been used to optimize the molecula...

Visual knowledge refers to the set of conceptualizations owned and used by imagistic-domain experts on problem-solving tasks. Because of its visual nature, there is a lack of constructs for representing this kind of knowledge using ontologies. This paper presents hybrid meta-constructs proposed to formalize and represent visual knowledge using ontologies. Beyond that, this paper presents a visu...

In this study, the substituent effect on the electronic, spectroscopic properties and thermodynamic parameters of neutral and oxidized states of ferrocylidene acetophenone complexes was investigated by adopting the hybrid meta exchange-correlation functional of M06-2X. The frontier orbitals and the highest occupied molecular orbitals–lowest unoccupied molecular orbitals gaps of the substituted ...

The structure, stability, and intermolecular rearrangements between ortho-, meta-, and para-C2B10H12 and were investigated using the hybrid density functional B3LYP/6-31G(d) for vibrational frequencies, as well as B3LYP/6-311+G(2d,p) for single-point electronic energies. The general trends in free energies of rearrangement between ortho-C2B10H12 to meta-C2B10H12 and meta-C2B10H12 to para-C2B10H...

This ‎paper presents a new multi-objective fuzzy stochastic data envelopment analysis model          (MOFS-DEA) under mean chance constraints and common weights to estimate the efficiency of decision making units for future financial periods of them. In the initial MOFS-DEA ‏model, the outputs and inputs are ‎characterized by random triangular fuzzy variables with normal distribution, in which ...

Abstract Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due better exploration and exploitation capabilities of the hybridization. This paper presents implementation meta-heuristic search that are Migrating Birds Optimization (MBO) algorithm Genetic Algorithm (GA) hybrid a data strategy. The proposed strategy is called Elit...

The aim of this study is to present a hybrid algorithm based on two meta-heuristic algorithms named Vibration Damping Optimization (VDO) algorithm and Genetic Algorithm (GA) for solving the stochastic capacitated location-allocation problem. For solving the model more efficiently, the simplex algorithm, stochastic simulation and the proposed hybrid algorithm are integrated to design a powerful ...

This paper presents a new mathematical model for a hybrid flow shop scheduling problem with multiprocessor tasks in which sequence dependent set up times and preemption are considered. The objective is to minimize the weighted sum of makespan and maximum tardiness. Three meta-heuristic methods based on genetic algorithm (GA), imperialist competitive algorithm (ICA) and a hybrid approach of GA a...

The barrel vaults are composed of member elements arranged on a cylindrical surface. This kind of structure is utilized to cover the long spans. In this paper, the hybrid charge system search and particle swarm optimization algorithm is improved and utilized to optimal design of single-layer barrel vault frames. Some modifications on parameter values are performed to enhance the performance of ...

Decision tree learning algorithms dynamically generate huge queries. Because these queries are executed often, the trade-off between meta-calling and compiling & running them has been in favor of the latter, as compiled code is faster. However, compilation is expensive, and experiments show that sometimes meta-call can outperform compile & run. In this paper, we investigate alternative approach...