Evolutionary optimization as applied to inverse scattering problems

429 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Irregular Phased Array Tiling by Means of Analytic Schemata-Driven Optimization (2017, methodology): “The control parameters of the G A have been set according to [29]: pc = 0.”
Microwave Imaging Within the First-Order Born Approximation by Means of the Contrast-Field Bayesian Compressive Sensing (2012, methodology): “Global optimization tools [37], [38], multi-step information retrieval techniques [39], [40] as well as alternative problem formulations such as contrast-source [17], [19] and qualitative methods [25], [26] have been introduced as suitable countermeasures for mitigating the non-linearity or its effe”
Unconventional Phased Array Architectures and Design Methodologies—A Review (2016, methodology): “; Ig and the optimization is carried out according to the notion of Pareto optimality [16].”
The Wind Driven Optimization Technique and its Application in Electromagnetics (2013, background): “In addition to array synthesis techniques, application of these algorithms to inverse scattering problems [26], non-linear media [27], and metamaterials is noteworthy.”
Optimal Synthesis of Robust Beamformer Weights Exploiting Interval Analysis and Convex Optimization (2014, methodology): “The PSO control parameters have been set as follows [19]: 20 (swarm dimension), 0.”