Ridge waveguide optimization with PSO algorithm

Simone, Marco; Fanti, Alessandro; Mazzarella, Giuseppe

doi:10.1080/09205071.2014.990113

Cited by 12 publications

(7 citation statements)

References 21 publications

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“…The PSO iteratively manipulates the variables to be optimized according to some mathematical formula, to find the best solution of the problem in a determined solution space [18,19]. The main task of every optimization procedure is the evaluation of the objective function for the present values of the variables.…”

Section: Optimizationmentioning

confidence: 99%

A Compact In-Line Waveguide-to-Microstrip Transition in the Q-Band for Radio Astronomy Applications

et al. 2018

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Abstract:A microstrip-to-waveguide transition has been realized for radio astronomy applications, designed to operate in the Q-band (33-50 GHz). As part of an array radio frequency (RF) receiver, the main requirement of such a transition is the reduction of transverse space occupation for the integration in the entire receiver chain, so an in-line configuration has been developed. Moreover, the high frequency band implies that an easy fabrication is a critical requirement if a good match between the two guiding structures is to be obtained in the desired band (with a relative bandwidth of 40%). The combination of CAD software and an optimization tool allows the device to achieve a good return loss over the entire band.

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Section: Optimizationmentioning

confidence: 99%

A Compact In-Line Waveguide-to-Microstrip Transition in the Q-Band for Radio Astronomy Applications

et al. 2018

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“…The fitness is a comprehensive index that evaluates the execution time and cost of the task scheduling scheme [10]. It shows the advantages and disadvantages of the particle position state in the particle swarm algorithm.…”

Section: Fitness Functionmentioning

confidence: 99%

“…In this paper, the fitness value of each particle is compared with the global optimal value. The success value of the improved adaptive inertia weight is calculated as follows: (10) In the formula (7), the current fitness of each particle is compared with the previous iteration. The global optimal value fitness(gbest t ) is added to S(i,t) in eq.…”

Section: Improved Adaptive Inertia Weightmentioning

confidence: 99%

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Research on Cloud Computing Task Scheduling based on Improved Particle Swarm Optimization

Zhao¹

2017

IJPE

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Particle swarm optimization (PSO) is a popular intelligent algorithm to solve the task scheduling optimization problem of work-flow system in cloud computing environment. However, this algorithm is easy to fall into the local optimality. It is the reason that the execution time and cost of the scheduling scheme are higher than other methods. Therefore, by improving the calculation method of the single particle success value, the traditional adaptive inertia weight particle group task scheduling algorithm is optimized. Through each particle fitness and local optimal value and global optimal value that divided into four cases to compare, the inertia weight improved can be used to adjust the particle velocity more accurately. It can better equilibrate search capacity of particles between global and local, and avoid the local maximum of the particles. In this paper, we more accurately describe the particle state and improve the inertia weight. We can get a scheduling scheme with lower execution time and lower cost. The analog results show that the improved algorithm is stable. The convergence accuracy is obviously improved. It can effectively avoid prematurely falling into the local optimality.

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“…However, even if the heating capacity of microwaves is very well known and used for a long time in many different applications, also in the treatment of agricultural foods to extend their durability, very few examples of soil irradiation can be found in the literature (Hansen et al, ), and even less for in situ applications (Holzer et al, ; Krouzek et al, ), if we exclude microwave‐based remediation of organic polluted soils, for which the working temperatures are much higher (O'Brien et al, ). Soil disinfection with in situ MW application using several exposure devices (e.g., horn antennas with pyramidal base and a waveguide feeding (Fanti, Simone, et al, ; Helszajn, ; Simone et al, , ; Spanu et al, ), truncated waveguides (Desogus, Casu, et al, ; Spanu et al, ), or planar slot arrays (Casula et al, ; Casula & Mazzarella, ) has been recognized as a convenient, rapid method of eliminating soil pathogens compared with autoclaving or fumigation (Acierno et al, ; Vitale et al, ).…”

Section: Introductionmentioning

confidence: 99%

Numerical Estimation of Agricultural Raised Bed Microwave Disinfection

et al. 2018

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The use of electromagnetic fields to solve issues related to agriculture is an interesting, costeffective, and eco-friendly possibility to be explored. One of the most promising applications is the disinfection of soils obtained by microwave-induced heating. This work deals with the nonlinear computational modeling of such microwave heating of soils in metal raised bed cultivations within a greenhouse. By modeling the dielectric properties of soil, in terms of composition, moisture content, and actual temperature, and accounting for the exact thermal and electromagnetic conditions in raised beds inside the greenhouse, several realistic and nonlinear multiphysics simulations were carried out. The disinfection is directed to fungi, such as Sclerotium rolfsii, and weeds, for example, ryegrass and fleabane. The effectiveness of the proposed procedure is quantified and critically discussed exploiting analytical thermal death kinetics of soilborne plant pathogens and compared to the solarization technique.

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Ridge waveguide optimization with PSO algorithm

Cited by 12 publications

References 21 publications

A Compact In-Line Waveguide-to-Microstrip Transition in the Q-Band for Radio Astronomy Applications

A Compact In-Line Waveguide-to-Microstrip Transition in the Q-Band for Radio Astronomy Applications

Research on Cloud Computing Task Scheduling based on Improved Particle Swarm Optimization

Numerical Estimation of Agricultural Raised Bed Microwave Disinfection

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