Description
Book SynopsisAuthoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modeled on the Darwinian concepts of natural selection and evolution.
Trade Review"...a powerful resource..." (Zentralblatt Math, Vol.992, No.17, 2002)
Table of ContentsAn Introduction to Genetic Algorithms (J. Johnson & Y. Rahmat-Samii).
Genetic Algorithms: Theory and Advanced Techniques (D. Weile & E. Michielssen).
Rules of Thumb for GA Parameters, GA Monitoring, GA Parameter Optimization, and Enhancement of GA Efficiency (D. Linden).
Thinned Arrays Using Genetic Algorithms (R. Haupt).
Application of Genetic Algorithms and Simulated Annealing to Some Antenna Problems (F. Ares-Pena).
Synthesis of Linear and Planar Arrays Using Genetic Algorithms (D. Marcano & F. Durán).
Application of the Genetic Algorithm to Broadband Antenna Design (Z. Altman, et al.).
Design of Wire Antennas Using Genetic Algorithms (E. Altshuler & D. Linden).
Evolutionary Designs of Integrated Antennas Using Genetic Algorithms and Methods of Moments (GA/MoM) (J. Johnson & Y. Rahmat-Samii).
Optimization and Synthesis of Various Printed Antennas (M. Himdi & J.-P. Daniel).
The Application of Domain Decomposition Genetic Algorithms to Pseudostratified Electromagnetic Filtering Structures (D. Weile E. Michielssen).
Designing Dielectric Grating Filters with PGAPACK (C. Zuffada, et al.).
Genetic Algorithms for Electromagnetic Backscattering: Multiobjective Optimization (M.-O. Bristeau, et al.).
Optimal Design of Magnetostatic Devices: The Genetic Algorithm Approach and System Optimization Strategies (O. Mohammed).
Bibliography.
Index.
