<span id="docs-internal-guid-ea798321-7fff-3e0c-24d7-776c9b1165b3"><span>In this paper, a multi-group salp swarm algorithm (MGSSA) is presented for estimating the photovoltaic (PV) solar cell models. The SSA metaheuristic technique that mimics social behavior of salp. salps work in group follow certain leader. leader approaches food source and rest follows it, hence resulting slow c...

differential steering of in-wheel electric vehicle provides the functions of both active steering and power assisted steering with the coupling control of force and displacement transfer characteristic of system. a collaborative optimization model of the differential power-assisted steering system of in-wheel electric vehicle is built, with steering economy as the main system optimization goal,...

this paper presents a relatively new management model for the optimal design and operation of irrigation water pumping systems. the model makes use of the newly introduced particle swarm optimization algorithm. a two step optimization model is developed and solved with the particle swarm optimization method. the model first carries out an exhaustive enumeration search for all feasible sets of p...

An Ad-hoc network is collection of mobile nodes without the necessity existing any centralized access points. In this paper introduce novel protocol that used to improveAdHoc with salp swarm algorithm routed flying Ad Hoc Network (FANET) by method simulation. FANET predicated unmanned aerial vehicles (UAV), it designed wireless has withwith high mobility, actively changing topology and movement...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

<p>The paper is all about the implementation of a novel bio-inspired metaheuristic<br />salp swarm algorithm (SSA) for speed control brushless DC<br />(BLDC) motor drive that run in sensorless mode. The angular<br />speed evaluated using an extended kalman filter, which the<br />dynamics are nonlinear. error speeds between actual and<br />estimated fed to PID...

Abstract A newly hybrid algorithm is proposed based on the combination of seeker optimization and particle swarm optimization. The a double population evolution strategy, populations individuals are evolved from separately. employ an information sharing mechanism to implement coevolution. enhances individuals’ diversity averts fall into local optimum. compared with optimization, simulated annea...

the dogleg severity is one of the most important parameters in directional drilling. improvement of these indicators actually means choosing the best conditions for the directional drilling in order to reach the target point. selection of high levels of the dogleg severity actually means minimizing well trajectory, but on the other hand, increases fatigue in drill string, increases torque and d...