Discrete binary particle swarm optimization algorithm and fuzzy control coupled hybrid operation optimization control method
A particle swarm algorithm, discrete binary technology, applied in computing models, calculations, biological models, etc., can solve the problems that traditional particle swarm algorithms cannot be promoted with constraints
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[0011] In order to make the purpose and technical solution of the present invention clearer, the present invention will be further described in detail below.
[0012] In the particle swarm optimization algorithm, each particle initially searches randomly in a given space, all particles have an fitness value determined by the optimized function, and each particle has a speed that determines their flying direction and distance. However, in each iteration, the particle updates itself by tracking two "extrema". The first one is the optimal solution found by the particle itself, which is called the individual extremum. Another extremum is the optimal solution currently found by the entire population, and this extremum is the global extremum. In addition, instead of the whole population, only a part of it can be used as the neighbor of the particle, then the extremum among all the neighbors is the local extremum.
[0013] Compared with the traditional particle swarm optimization a...
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