1. Antenna Design using Animal Migration Optimization Algorithm
- Author
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Sadik Ulker and Ezgi Deniz Ulker
- Subjects
Mathematical optimization ,Engineering ,business.industry ,media_common.quotation_subject ,Antenna design ,General Engineering ,Energy Engineering and Power Technology ,020206 networking & telecommunications ,02 engineering and technology ,Swarm intelligence ,Local optimum ,lcsh:TA1-2040 ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Optimisation algorithm ,Quality (business) ,business ,lcsh:Engineering (General). Civil engineering (General) ,Software ,media_common - Abstract
The use of swarm intelligence algorithms for solving complex optimisation problems is an interesting area since they can produce remarkable results. The animal migration optimisation (AMO) algorithm is one of the swarm intelligence algorithms which is derived from the migration behaviour of animals. The implementation of AMO algorithm for complex array optimisation problems is given. The experimental studies show that the AMO algorithm produces high-quality results and it is capable to overcome strong local optimum points by using its attributes. Also, it has few number of steps which are quite easy to implement. The AMO can be suggested as a powerful algorithm for optimisation problems including complex array designs when the high solution quality is desired.
- Published
- 2016
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