The use of swarm intelligence algorithms for solving complex optimisation problems is an interesting area since they can produce remarkable results. The animalmigrationoptimisation (AMO) algorithm is one of the swar...
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The use of swarm intelligence algorithms for solving complex optimisation problems is an interesting area since they can produce remarkable results. The animalmigrationoptimisation (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.
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