Low switching frequency pulse width modulation (PWM) technique for and control of multilevel inverter in medium voltage high power applications is preferred order to reduce the losses. In this context, a operated with Selective harmonics minimization PWM offers better quality waveform at reduced After Fourier series analysis, system non-linear simultaneous transcendental equations obtained. The...

The dynamic facility layout problem (DFLP) is the problem of finding positions of departments onthe plant floor for multiple periods (material flows between departments change during the planning horizon)such that departments do not overlap, and the sum of the material handling and rearrangement costs isminimized. In this paper a new optimization algorithm inspired from colonizing weeds, Invasi...

ardekoul fault zone which is along nnw-sse is located in eastern iran and northern part of the sistan subzone. dextral strike-slip fault zone of ardekuol is made of six main segments including korizan (28 km), bohn abad (8.8 km), abiz (32 km), gazkoon (20 km), moein abad (30.4 km), ghal maran (12 km), and two minor segments including olang morgh (12.8 km) and seh pestan (9.6 km).  the studied r...

This paper presents the application of three optimization algorithms to increase chaotic behavior fractional order Chen system. is achieved by optimizing maximum Lyapunov exponent (MLE). The applied techniques are evolutionary (EAs), namely: differential evolution (DE), particle swarm (PSO), and invasive weed (IWO). In each algorithm, process performed using 100 individuals generations from 50 ...

Invasive Weed Optimization is a recently proposed population based meta-heuristic that mimics the colonizing action of weeds. In this article, an improvement to the classical algorithm has been proposed by introducing a constriction factor in the seed dispersal stage. Temporal Difference Q-Learning has been employed to adapt this parameter for different population members through the successive...

In this paper, an artificial-based optimizes and analysis of an optimal proportional, integral, derivative (PID) controller is introduced for a hydro-turbine generator governor. The main purpose, optimization PID controller parameters of hydro-turbine connected to the network for damping output frequency oscillation. In The proposed approach, an optimal and evolutionary based proportional, inte...

 Sequence dependent set-up times scheduling problems (SDSTs), availability constraint and transportation times are interesting and important issues in production management, which are often addressed separately. In this paper, the SDSTs job shop scheduling problem with position-based learning effects, job-dependent transportation times and multiple preventive maintenance activities is studied. ...

Flood has long been known as one of the most catastrophic natural hazards worldwide. Mapping flood-prone areas is an important part flood disaster management. In this study, a susceptibility mapping framework was developed based on novel integration nature-inspired algorithms into support vector regression (SVR). To end, various remote sensing (RS) and geographic information system (GIS) datase...

Evolutionary algorithms have been recognized to be suitable for extracting approximate solutions of multi-objective problems because of their capability to evolve a set of non-dominated solutions distributed along the Pareto frontier‎. ‎This paper applies an evolutionary optimization scheme‎, ‎inspired by Multi-objective Invasive Weed Optimization (MOIWO) and Non-dominated Sorting (NS) strategi...