job shop scheduling problem has significant importance in many researchingfields such as production management and programming and also combinedoptimizing. job shop scheduling problem includes two sub-problems: machineassignment and sequence operation performing. in this paper combination ofparticle swarm optimization algorithm (pso) and gravitational search algorithm(gsa) have been presented f...

this paper proposes a novel hybrid algorithm namely apso-bfo which combines merits of bacterial foraging optimization (bfo) algorithm and adaptive particle swarm optimization (apso) algorithm to determine the optimal pid parameters for control of nonlinear systems. to balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

A novel median filter based on crow optimization algorithms (OMF) is suggested to reduce the random salt and pepper noise improve quality of RGB-colored gray images. The fundamental idea approach that first, algorithm detects pixels, replacing them with an optimum value depending a criterion maximization fitness function. Finally, standard measure peak signal-to-noise ratio (PSNR), Structural S...

Abstract Frequency control of an interconnected power system in the presence wind integration is complex since speed/power variations also affect frequency addition to load perturbations. Therefore, improving existing schemes necessary maintain a stable such scenarios. In this paper, new 2-degree freedom combined proportional-integral and derivative scheme applied integrated system. designing c...

In this study, a new distributed generation sizing that inherits the allocation strategy for IEEE 30-bus benchmark system is proposed. The hybrid crow search-particle swarm optimization technique would select optimal buses through automatic cancelation of unfeasible load buses. Additionally, it performs minimum costs and transmission losses. Also, selects best technology among wind turbines pho...

Abstract As being one of the main waveform candidates developed for meeting demands fifth generation (5G) and beyond telecommunication technologies, universal filtered multicarrier (UFMC) has various appealing features contributing to overcome many obstacles in wireless communication. However, due usage multiple subcarriers, UFMC signals suffer from having high peak-to-average power ratio (PAPR...

Water-cycle algorithm based on evaporation rate (ErWCA) is a powerful enhanced version of the water-cycle (WCA) metaheuristics algorithm. ErWCA, like other algorithms, may still fall in sub-optimal region and have slow convergence, especially high-dimensional tasks problems. This paper suggests an ErWCA (EErWCA) version, which embeds local escaping operator (LEO) as internal updating process. a...