Abstract In recent years, evolutionary algorithms have shown great advantages in the field of feature selection because their simplicity and potential global search capability. However, most existing based on computation are wrapper methods, which computationally expensive, especially for high-dimensional biomedical data. To significantly reduce computational cost, it is essential to study an e...

In this paper, optimization of a system square cascades for separation middle isotopes is introduced, and the optimal cascade use in presented. case, 130Xe which isotope, presented as an example. The isotope much more complex than that other isotopes. Grey Wolf Algorithm applied optimization, parameters feed flow rate, cut cascade, location, gas centrifuges (GC), first stage are optimized such ...

The first step in the design phase of Brushless Direct Current (BLDC) motor is formulation mathematical framework and often used due to its analytical structure. Therefore, BLDC problem considered be an optimization problem. In this paper, model presented, it a basis for emphasizing methods. experimentation has 78 non-linear equations, two objective functions, five variables, six constraints, s...

An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance exploration and development capabilities, premature convergence. The benefits from particle swarm a dimension learning-based hunting search strategy. In strategy, linear variable social learning self-learning are introduced improve population’s ability communicate info...

A new metaheuristic method, the Gray Wolf optimizer algorithm based on the foraging behavior of Grey wolf is proposed in this paper for optimizing stabilizer parameters. The optimal stabilizer is applied to static synchronous series compensator (SSSC) for Inter-Area oscillation damping. There are two different channels for controlling of phase and magnitude of the injection voltage. When the SS...

The increasing concern of global climate changes, the promotion of renewable energy sources, primarily wind generation, is a welcome move to reduce the pollutant emissions from conventional power plants. Integration of wind power generation with the existing power network is an emerging research field. This paper presents a meta-heuristic algorithm based approach to determine the feasible dispa...