A Multi-Objective Invasive Weed Optimization for Broad Band Sequential Rotation Networks

Maddio, Stefano; Pelosi, Giuseppe; Righini, Monica; Selleri, Stefano

doi:10.1109/apusncursinrsm.2018.8608713

Cited by 15 publications

(10 citation statements)

References 6 publications

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“…This problem, with M = 16, has also been used for comparison with two other popular optimization techniques: particle swarm optimization (PSO) 13 and gray wolf optimization (GWO). 19,20 Comparisons are given as average c and standard deviation σ c of the attained cost values over 50 or 10 independent runs in Table 1. Population size is chosen so at to have almost the same number of evalutions for all the algorithms (note that IWO has a nondeterministic number of evaluation, so average is given there).…”

Section: Resultsmentioning

confidence: 99%

“…Optimization parameters for the other two method are those typical from literature. 13,19,20 Then, a symmetric mask is considered for a N = 41 elements (20 λ long) array. Polynomials and spline with a phase limit of Φ max = 8π are used.…”

Section: Resultsmentioning

confidence: 99%

“…In this contribution, on the other hand, true phase only synthesis is applied to linear arrays, not only exploiting Chebyshev polynomials but also Legendre polynomials and splines, applying an evolutionary invasive weed optimization (IWO) method, which has proven to be a rapidly convergent global optimizer. [17][18][19] Special attention will be devoted to the order of the polynomials needed to satisfy pattern masks, both in terms of side lobe levels and steepness of the transition between the main lobe and the side lobes.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A comparison between basis functions for the efficient invasive weed optimization‐based optimization of phase‐only linear array patterns

Angeletti

Berretti

Maddio

et al. 2021

Micro & Optical Tech Letters

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Synthesis of phased array antennas generating shaped patterns by exploiting phase tapering only is a challenging problem. A phase-only tapering permits maximizing the DC to RF power efficiency and results to be particularly useful in satellite applications with stringent constraints on the available power. Such a synthesis is a highly nonlinear problem most effectively addressed via stochastic optimization techniques. In this paper several basis functions to represent the phase distribution are traded-off and compared, within an invasive weed optimization paradigm.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A comparison between basis functions for the efficient invasive weed optimization‐based optimization of phase‐only linear array patterns

Angeletti

Berretti

Maddio

et al. 2021

Micro & Optical Tech Letters

Self Cite

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“…Notwithstanding, the most widely used algorithms nowadays are nature-inspired population-based procedures mimicking either biological [31] or social phenomena [32], many of which have their multi-objective versions. Some of the popular methods include evolutionary algorithms [33], differential evolution [34], particle swarm optimization [35], invasive weed optimization [36], ant colony [37], and others [38]- [39]. The most important benefit of population-based procedures is the ability of rendering the entire Pareto set in on algorithm run.…”

Section: Introductionmentioning

confidence: 99%

Rapid Multi-Criterial Antenna Optimization by Means of Pareto Front Triangulation and Interpolative Design Predictors

Koziel

Pietrenko‐Dabrowska²

2021

IEEE Access

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Modern antenna systems are designed to meet stringent performance requirements pertinent to both their electrical and field properties. The objectives typically stay in conflict with each other. As the simultaneous improvement of all performance parameters is rarely possible, compromise solutions have to be sought. The most comprehensive information about available design trade-offs can be obtained through multiobjective optimization (MO), typically in the form of a Pareto set. Notwithstanding, MO is a numerically challenging task, in a large part due to high CPU cost of evaluating the antenna properties, normally carried out through full-wave electromagnetic (EM) analysis. Surrogate-assisted procedures can mitigate the cost issue to a certain extent but construction of reliable metamodels is hindered by the curse of dimensionality, and often highly nonlinear antenna characteristics. This work proposes an alternative approach to MO of antennas. The major contribution of our work consists in establishing a deterministic machine learning procedure, which involves sequential generation of Pareto-optimal designs based on the knowledge gathered so far in the process (specifically, by triangulation of the already obtained Pareto set), and local surrogate-assisted refinement procedures. Our methodology allows for rendering uniformly-distributed Pareto designs at the cost of a few hundreds of antenna EM simulations, as demonstrated by means of three verification case studies. Benchmarking against state-of-the-art MO techniques is provided as well. INDEX TERMS Antenna optimization; EM-driven design; multi-criterial design; Pareto front triangulation; surrogate modeling.

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Low‐loss compact diplexer based on complementary spiral resonators

Giannetti,

Maddio

2024

Micro & Optical Tech Letters

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The article describes a novel low‐loss microwave diplexer based on compact planar filtering elements. These are composed of spiral resonators and etched directly onto the signal layer. Furthermore, their design and optimization prove to be easy, and their native high‐pass/low‐pass characteristics are perfectly suited for assembling a diplexer. To verify the claim, a diplexer is designed and fabricated. It operates at 1.9 GHz and 3.5 GHz, and it is intended for personal communications service and 5G applications. The proposed device has an active area of 15.5 mm 19.5 mm. It shows an insertion loss of 0.35 dB and 0.28 dB for the two channels, representing the lowest data reported in the literature for this kind of device and technology. Additionally, the −10 dB‐fractional bandwidths for the lower and upper bandwidths are 40.6% and 20.2%, respectively, and isolation is at least 25 dB for both channels.

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A Multi-Objective Invasive Weed Optimization for Broad Band Sequential Rotation Networks

Cited by 15 publications

References 6 publications

A comparison between basis functions for the efficient invasive weed optimization‐based optimization of phase‐only linear array patterns

A comparison between basis functions for the efficient invasive weed optimization‐based optimization of phase‐only linear array patterns

Rapid Multi-Criterial Antenna Optimization by Means of Pareto Front Triangulation and Interpolative Design Predictors

Low‐loss compact diplexer based on complementary spiral resonators

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