Sparrow Search Algorithm (SSA) is a kind of novel swarm intelligence algorithm, which has been applied in-to various domains because its unique characteristics, such as strong global search capability, few adjustable parameters, and clear structure. However, the SSA still some inherent weaknesses that hinder further development, poor population diversity, weak local searchability, falling into ...

Under the background of large-scale and rapid development renewable energy, in order to improve economic benefit system ensure reliability system, this paper introduces hydrogen production energy storage into independent wind/photovoltaic/hydrogen/storage capacity optimization configuration method. In minimize total planning cost self-sufficiency rate power supply, a allocation model was establ...

Space situational awareness (SSA) plays an important role in maintaining space advantages. Task planning is one of the key technologies SSA to allocate multiple tasks satellites, so that a satellite may be allocated supervise objects, and object supervised by satellites. This paper proposes hierarchical distributed task-planning framework for systems with focus on fast effective task customized...

In this paper, an optimal stable algorithm is presented for members of a robots swarm moving toward a target. Equations of motion of the swarm are based on Lagrangian energy equations. Regarding of similar research On the design of swarm motion algorithm, an equation of motion considered constraints to guarantee no collision between the members and the members and obstacles along the motion pat...

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...

During the phase of periodic survey, sealed crack and in asphalt pavement surface should be detected accurately. Moreover, capability identifying these two defects can help reduce false-positive rate for detection. Because are both line-based may resemble each other shape, this study puts forward an innovative method based on computer vision detecting crack. This is integration feature extracti...

In order to effectively solve the problems of low prediction accuracy and calculation efficiency existing methods for estimating economic loss in a subway station engineering project due rainstorm flooding, new intelligent model is developed using sparrow search algorithm (SSA), least-squares support vector machine (LSSVM) mean impact value (MIV) method. First, this study, 11 input variables ar...