Election Campaign Optimization Algorithm Research Articles

Stereo Matching Based On Election Campaign Algorithm

Stereo matching is one of the significant problems in the study of the computer vision. By getting the distance information through pixels, it is possible to reproduce a three-dimensional stereo. In this paper, the edges are the primitives for matching, the grey values of the edges and the magnitude and direction of the edge gradient were figured out as the properties of the edge feature points, according to the constraints for stereo matching, the energy function was built for finding the route minimizing by election campaign optimization algorithm during the process of stereo matching was applied to this problem the energy function. Experiment results show that this algorithm is more stable and it can get the matching result with better accuracy.

Election Campaign Optimization Algorithm for Design of Pressure Vessel

Election Campaign Optimization algorithm is a new heuristic algorithm, it works by simulating the behavior that the election candidates pursue the highest support in election campaign. In this paper, the problem of optimal designing a pressure vessel is selected to verify the validity of Election Campaign Optimization algorithm. The computing result shows that Election Campaign Optimization algorithm can find the global optimal solutions for design problem.

Election campaign optimization algorithm

Abstract This paper introduces a new optimization algorithm - Election Campaign Optimization algorithm, which searches solution space by simulating the motivation of candidates in election campaign to the highest support. This algorithm is realized by Matlab language, and be encapsulated to the algorithm toolbox. The computational results of function in the toolbox show that ECO algorithm can search out the optimal solutions of optimization problems. In this paper, only 3 optimization functions and a PID controller parameters tuning problem are selected as example to exposit Election Campaign Optimization algorithm.