Evolutionary optimization as applied to inverse scattering problems
Top Cited Papers
- 30 November 2009
- journal article
- review article
- Published by IOP Publishing in Inverse Problems
- Vol. 25 (12)
- https://doi.org/10.1088/0266-5611/25/12/123003
Abstract
This review is aimed at presenting an overview of evolutionary algorithms (EAs) as applied to the solution of inverse scattering problems. The focus of this work is on the use of different population-based optimization algorithms for the reconstruction of unknown objects embedded in an inaccessible region when illuminated by a set of microwaves. Starting from a general description of the structure of EAs, the classical stochastic operators responsible for the evolution process are described. The extension to hybrid implementations when integrated with local search techniques and the exploitation of the 'domain knowledge', either a priori obtained or collected during the optimization process, are also presented. Some theoretical discussions concerned with the convergence issues and a sensitivity analysis on the parameters influencing the stochastic process are reported as well. Successively, a review on how various researchers have applied or customized different evolutionary approaches to inverse scattering problems is carried out ranging from the shape reconstruction of perfectly conducting objects to the detection of the dielectric properties of unknown scatterers up to applications to sub-surface or biomedical imaging. Finally, open problems and envisaged developments are discussed.This publication has 119 references indexed in Scilit:
- An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network trainingNeural Computing & Applications, 2007
- Particle Swarm Optimization Versus Genetic Algorithms for Phased Array SynthesisIEEE Transactions on Antennas and Propagation, 2004
- Particle swarm optimization in electromagneticsIEEE Transactions on Antennas and Propagation, 2004
- Electromagnetic detection of dielectric scatterers using phaseless synthetic and real data and the memetic algorithmIEEE Transactions on Geoscience and Remote Sensing, 2003
- The particle swarm optimization algorithm: convergence analysis and parameter selectionInformation Processing Letters, 2003
- ACO algorithms with guaranteed convergence to the optimal solutionInformation Processing Letters, 2002
- Electromagnetic inverse scattering of two-dimensional perfectly conducting objects by real-coded genetic algorithmIEEE Transactions on Geoscience and Remote Sensing, 2001
- A computational technique based on a real-coded genetic algorithm for microwave imaging purposesIEEE Transactions on Geoscience and Remote Sensing, 2000
- Microwave imaging of a perfectly conducting cylinder using a real-coded genetic algorithmIEE Proceedings - Microwaves, Antennas and Propagation, 1999
- Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part II: Analysis of the diversification role of crossoverIEEE Transactions on Neural Networks, 1994