By Randy L. Haupt,Douglas H. Werner
Genetic Algorithms in Electromagnetics specializes in optimizing the target functionality while a working laptop or computer set of rules, analytical version, or experimental consequence describes the functionality of an electromagnetic method. It deals specialist information to optimizing electromagnetic structures utilizing genetic algorithms (GA), that have confirmed to be tenacious to find optimum effects the place conventional strategies fail.
Genetic Algorithms in Electromagnetics starts with an creation to optimization and a number of other widely used numerical optimization exercises, and is going directly to feature:
- Introductions to GA in either binary and non-stop variable varieties, entire with examples of MATLAB(r) commands
- Two step by step examples of optimizing antenna arrays in addition to a entire assessment of purposes of GA to antenna array layout problems
- Coverage of GA as an adaptive set of rules, together with adaptive and clever arrays in addition to adaptive reflectors and crossed dipoles
- Explanations of the optimization of a number of various cord antennas, beginning with the recognized "crooked monopole"
- How to optimize horn, reflector, and microstrip patch antennas, which require considerably extra computing energy than twine antennas
- Coverage of GA optimization of scattering, together with scattering from frequency selective surfaces and electromagnetic band hole materials
- Ideas on operator and parameter choice for a GA
- Detailed factors of particle swarm optimization and a number of aim optimization
- An appendix of MATLAB code for experimentation
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