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Election Campaign Optimization algorithm is applied to solve the problem of tuning intelligently the parameters of PID controller for first order lag plus time delay system. An example is chosen to test this method developed, the simulation results show that optimal control performance can be obtained by employing this tuning method. It means that this tuning method is feasible.
Multi-peak Optimization problems are solved by Election Campaign Optimization algorithm. 3 Multi-peak Optimization problems are selected as examples to verify this algorithm. It is found that Election Campaign Optimization algorithm can jump out of local peaks easily and search out the all global optimal solution of Multi-peak Optimization problems simultaneously. It means that Election Campaign Optimization...
For the nonlinear constrained optimization problems, election-survey algorithm is combined with dynamic penalty function method to get the optimum in order to demonstrate solving capability of the algorithm. The tests of classic function and engineering optimization application model show that the election-survey algorithm can constringe rapidly to global optimal solution and achieve better optimization...
Election Campaign Optimization algorithm is used to tune the parameters of PID controllers optimally. 2 plants are selected to verify the applications, the simulation results are obtained, it is found that Election Campaign Optimization algorithm is able to search out the optimal parameters of PID controllers efficiently, applying Election Campaign Optimization algorithm to tune PID controllers optimally...
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