A method and system for deploying an indoor antenna
An indoor antenna and antenna technology, which is applied in wireless communication, electrical components, network planning, etc., can solve the problems of inability to guarantee the number of antenna surfaces, cost savings, manual experience design and inability to traverse the deployment scheme, etc.
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[0092] In order to help better understand the present invention, firstly, the multi-objective evolutionary algorithm involved in the embodiment of the present invention is introduced.
[0093] Multi-objective evolutionary algorithm is a branch of genetic algorithm. The biggest difference between this algorithm and single-objective optimization algorithm is that it has multiple objectives that need to be optimized at the same time. From the perspective of internal mechanism, the multi-objective evolutionary algorithm adopts an improved selection mechanism in order to reflect the optimal selection characteristics based on Pareto, and uses niche technology to strive for a uniform distribution of Pareto front-end solution points.
[0094] The multi-objective evolutionary algorithm starts from a population representing the potential solution set of the problem, and a population is composed of a certain number of individuals encoded by genes. Each individual is actually an entity wi...
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