Aiming at the inherent problems of swarm intelligence algorithm, such as falling into local extremum in early stage and low precision later stage, this paper proposes an improved sparrow search algorithm (ISSA). Firstly, we introduce idea flight behavior bird SSA to keep diversity population reduce probability optimum; Secondly, creatively crossover mutation genetic get better next-generation p...

This paper presents a novel scheduling scheme for the real-time home energy management systems based on Internet of Energy (IoE). The is multi-agent method that considers two chief purposes including user satisfaction and consumption cost. designed under environment microgrid. impact in terms cost savings generally significant system efficiency. That why domestic users are involved appliances. ...

We present a simple SSA construction algorithm, which allows direct translation from an abstract syntax tree or bytecode into an SSA-based intermediate representation. The algorithm requires no prior analysis and ensures that even during construction the intermediate representation is in SSA form. This allows the application of SSA-based optimizations during construction. After completion, the ...

Several optimization algorithms based on the Back Propagation (BP) neural network are often used to improve fitting accuracy of GNSS height anomaly. However, performance and applicability these have not been systematically studied. This study takes two kinds GNSS/leveling points with different spatial distributions as examples, evaluates commonly genetic algorithm (GA), simulated annealing (SA)...

Abstract Single-solution-based optimization algorithms have gained little to no attention by the research community, unlike population-based approaches. This paper proposes a novel algorithm, called Single Candidate Optimizer (SCO), that relies only on single candidate solution throughout whole process. The proposed algorithm implements unique set of equations effectively update position soluti...

The image stitching process is based on the alignment and composition of multiple images that represent parts a 3D scene. automatic construction panoramas from digital technique great importance, finding applications in different areas such as remote sensing inspection maintenance many work environments. In traditional stitching, generally performed by Levenberg–Marquardt numerical-based method...

Ensuring accurate estimation of evaporation is weighty for effective planning and judicious management available water resources agricultural practices. Thus, this work enhances the potential support vector regression (SVR) optimized with a novel nature-inspired algorithm, namely, Slap Swarm Algorithm (SVR-SSA) against Whale Optimization (SVR-WOA), Multi-Verse Optimizer (SVR-MVO), Spotted Hyena...

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...

We present an efficient numerical algorithm for simulating chemical kinetic systems with multiple time scales. This algorithm is an improvement of the traditional stochastic simulation algorithm (SSA), also known as Gillespie’s algorithm. It is in the form of a nested SSA and uses an outer SSA to simulate the slow reactions with rates computed from realizations of inner SSAs that simulate the f...