Microstrip-patch array design using a multiobjective GA

Coevorden, C. Moreno de Jong van; Garcia, S.G.; Pantoja, Mario F.; Bretones, A.R.; Martin, R.G.

doi:10.1109/lawp.2005.845907

Cited by 24 publications

(12 citation statements)

References 8 publications

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“…Multiobjective evolutionary algorithms have gained popularity and have been used extensively over the last years in several design problems in electromagnetics. The application areas among others include microwave absorbers [63]- [65], antenna arrays [66]- [68], wire [69]- [72] and patch antennas [73]- [75].…”

Section: Multiobjective Optimization With Constraintsmentioning

confidence: 99%

Pareto Optimal Microwave Filter Design Using Multiobjective Differential Evolution

Goudos

Sahalos

2010

IEEE Trans. Antennas Propagat.

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Microwave filters play an important role in modern wireless communications. A novel method for the design of multilayer dielectric and open loop ring resonator (OLRR) filters under constraints is presented. The proposed design method is based on generalized differential evolution (GDE3), which is a multiobjective extension of differential evolution (DE). GDE3 algorithm can be applied for global optimization to any engineering problem with an arbitrary number of objective and constraint functions. GDE3 is compared against other evolutionary multiobjective algorithms like nondominated sorting genetic algorithm-II (NSGA-II), multiobjective particle swarm optimization (MOPSO) and multiobjective particle swarm optimization with fitness sharing (MOPSO-fs) for a number of microwave filter design cases. In the multilayer dielectric filter design case a predefined database of low loss dielectric materials is used. The results indicate the advantages of this approach and the applicability of this design method.Index Terms-Dielectric filters, differential evolution (DE), generalized differential evolution (GDE), microwave filter design, multiobjective optimization (MO), open loop ring resonator (OLRR) filter, Pareto optimization, particle swarm optimization (PSO).

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Section: Multiobjective Optimization With Constraintsmentioning

confidence: 99%

Pareto Optimal Microwave Filter Design Using Multiobjective Differential Evolution

Goudos

Sahalos

2010

IEEE Trans. Antennas Propagat.

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“…The array factor can be written as (8) where is the complex excitation coefficient of the th element located at along the linear array direction , and is the spatial wavenumber. Assuming the antenna elements are identical and oriented in the same direction, the total radiation pattern of the array is (9) where is the radiation pattern of each elements.…”

Section: A Case Studymentioning

confidence: 99%

“…For the multiobjective synthesis of antenna arrays, very few studies have been devoted to develop "truly" vector algorithms that are applicable to multiobjective optimizations [5], [8], [9]. Consequently, a common approach to deal with multiobjective synthesis is to convert the synthesis into a scalar one, i.e., to combine the multiobjective functions into a single one by adding different weighting factors to different objectives and then solve the weighted objective function.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Synthesis of Antenna Arrays Using a Vector Tabu Search Algorithm

Yang

2009

Antennas Wirel. Propag. Lett.

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“…It is based on stochastic methods modeled on the concepts of natural selection and evolution. The GA has been successfully applied in the research and design of electromagnetic field, such as the microwave imaging [12], the antenna design [13][14][15], and the synthesis of array antenna [16,17]. …”

Section: The Ga-based Optimizationmentioning

confidence: 99%

A novel suspended stripline-fed printed square slot array antenna with high-gain

Chen

2009

Int J RF and Microwave Comp Aid Eng

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A novel suspended stripline-fed square slot array antenna with high gain is presented. Its basic structure is a suspended stripline comprising of three layers. On the top layer, 4 3 4 square slots are etched and act as radiation elements. The middle layer consists of a suspended stripline power divider, and the bottom layer is a metal ground. After optimization by a parallel Genetic Algorithm (GA) on a cluster system, a prototype antenna is fabricated and tested. The measured results agree well with the simulated data, and show a high gain of 18.7 dBi and an impedance bandwidth of 5.7% for S11<-10 dB are obtained.

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Microstrip-patch array design using a multiobjective GA

Cited by 24 publications

References 8 publications

Pareto Optimal Microwave Filter Design Using Multiobjective Differential Evolution

Pareto Optimal Microwave Filter Design Using Multiobjective Differential Evolution

Multiobjective Synthesis of Antenna Arrays Using a Vector Tabu Search Algorithm

A novel suspended stripline-fed printed square slot array antenna with high-gain

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