Advances in Particle Swarm Optimization for Antenna Designs: Real-Number, Binary, Single-Objective and Multiobjective Implementations

Jin, Nanbo; Rahmat‐Samii, Y.

doi:10.1109/tap.2007.891552

Cited by 706 publications

(403 citation statements)

References 32 publications

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“…Over the time-modulated linear array design instances we also compare the performance of MOEA/D-DE with that of two single-objective optimization techniques, namely DEGL (DE with Global and Local Neighborhood) [39] and CLPSO (Comprehensive Learning PSO) [40] that are the state-of-the-art variants of DE and PSO, two metaheuristic algorithms widely used in past for various electromagnetic optimization [2,4,26,[41][42][43][44]. For singleobjective optimization techniques, we use a weighted linear sum of the objective functions given in (5a)-(5c).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…This comparison reflects the superiority of the time-modulation method over the two others. Secondly the results of MOEA/D-DE over time-modulated array design are compared with the state-of-theart variants of two popular single objective optimization algorithms of current interest, namely Differential Evolution (DE) [24] and Particle Swarm Optimization (PSO) [25,26]. The comparison indicates that on the tested design instances MOEA/D-DE yields much better solutions as compared to the single-objective algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Design of Time-Modulated Linear Arrays With a Multi-Objective Optimization Approach

Pal¹,

Das²,

Basak³

2010

PIER B

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Abstract-This article proposes a Multi-objective Optimization (MO) framework for the design of time-modulated linear antenna arrays with ultra low maximum Side Lobe Level (SLL), maximum Side Band Level (SBL) and main lobe Beam Width between the First Nulls (BWFN). In contrast to the existing optimization-based methods that attempt to minimize a weighted sum of SLL, SBL, and BWFN, we treat these as three distinct objectives that are to be achieved simultaneously and use one of the best known MultiObjective Evolutionary Algorithms (MOEAs) of current interest called MOEA/D-DE (Decomposition based MOEA with Differential Evolution operator) to determine the best compromise among these three objectives. Unlike the single-objective approaches, the MO approach provides greater flexibility in the design by yielding a set of equivalent final solutions from which the user can choose one that attains a suitable trade-off margin as per requirements. We compared time-modulated antenna structures with other methods for linear array synthesis such as the excitation method and the phase-position synthesis method on the basis of the approximated Pareto Fronts

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of Time-Modulated Linear Arrays With a Multi-Objective Optimization Approach

Pal¹,

Das²,

Basak³

2010

PIER B

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“…Particle swarm optimization [10][11][12][13] emulates the swarm behavior of insects, animals herding, birds flocking, and fish schooling where these swarms search for food in a collaborative manner. Each member in the swarm adapts its search patterns by learning from its own experience and other member's experiences.…”

Section: Modified Particle Swarm Optimizationmentioning

confidence: 99%

“…PSO [10] is an evolutionary algorithm and has been successfully used in the design of antenna arrays [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Combination of Inverse Fast Fourier Transform and Modified Particle Swarm Optimization for Synthesis of Thinned Mutually Coupled Linear Array of Parallel Half-Wave Length Dipole Antennas

Pathak¹,

Basu²,

Mahanti³

2011

PIER M

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Abstract-In this paper, the authors propose a method based on the combination of inverse fast Fourier transform (IFFT) and modified particle swarm optimization for side lobe reduction of a thinned mutually coupled linear array of parallel half-wave length dipole antennas with specified maximum return loss. The generated pattern is broadside (φ = 90 degree) in the horizontal plane. Mutual coupling between the half-wave length parallel dipole antennas has been taken care of by induced emf method considering the current distribution on each dipole to be sinusoidal. Directivity, first null beamwidth (FNBW), return loss of the thinned array is also calculated and compared with a fully populated array. Two cases have been considered, one with symmetric excitation voltage distribution and the other with asymmetric one. The method uses the property that for a linear array with uniform element spacing, an inverse Fourier transform relationship exists between the array factor and the element excitations. Inverse Fast Fourier Transform is used to calculate the array factor, which in turn reduces the computation time significantly. The element pattern of half-wave length dipole antenna has been

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“…For instance, phase-only, amplitude-only and complex synthesis of linear arrays is accomplished by GA and PSO in [16]. In [17], several PSO algorithms have been applied to the design of nonuniform and thinned arrays. Several modified PSO algorithms can also be found applied to the pattern synthesis of circular arrays or phased arrays [10,11].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Planar Arrays Using a Modified Particle Swarm Optimization Algorithm by Introducing a Selection Operator and Elitism

Diego¹,

López²,

Basterrechea³

2009

PIER

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Abstract-A modified particle swarm optimization (PSO) algorithm applied to planar array synthesis considering complex weights and directive element patterns is presented in this paper. The modern heuristic classical PSO scheme with asynchronous updates of the swarm and a global topology has been modified by introducing tournament selection, one of the most effective selection strategies performing in genetic algorithms the equivalent role to natural selection, and elitism. The modified PSO proposed combines the abilities of the classical PSO to explore the search space and the pressure exerted by the selection operator to speed up convergence. Regarding the optimization problem, the synthesis of the feeds for rectangular planar arrays consisting of microstrip patches or subarrays of microstrip patches is considered. Results comparing the performance and limitations of classical and modified PSO-based schemes are included considering both test functions and planar array complex synthesis to best meet certain far-field radiation pattern restrictions given in terms of 3D-masks. Finally, representative synthesis results for sector antennas for worldwide interoperability for microwave access (WiMAX) applications are also included and discussed.

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Advances in Particle Swarm Optimization for Antenna Designs: Real-Number, Binary, Single-Objective and Multiobjective Implementations

Cited by 706 publications

References 32 publications

Design of Time-Modulated Linear Arrays With a Multi-Objective Optimization Approach

Design of Time-Modulated Linear Arrays With a Multi-Objective Optimization Approach

Combination of Inverse Fast Fourier Transform and Modified Particle Swarm Optimization for Synthesis of Thinned Mutually Coupled Linear Array of Parallel Half-Wave Length Dipole Antennas

Synthesis of Planar Arrays Using a Modified Particle Swarm Optimization Algorithm by Introducing a Selection Operator and Elitism

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