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- W1559183502 abstract "Election Campaign Optimization (ECO) algorithm is a new heuristic algorithm, it works by simulating the behavior that the election candidates pursue the highest support in campaign. The candidates can influence the voters round them. The higher prestige a candidate comports, the larger effect he has. Voters have to allot their support proportionally according to the effects imposed by the candidates. Global and local survey-sample to voters are done to investigate the support of candidates. The proportion of the support to a candidate from a voter to the sum of the support of the candidate from all voters is the contribution of a voter to the candidate. The sum of location coordinates of every voters powered by its contribution is a new location coordinates, it is the next position of the candidate. Such cycle is done continually until a candidate finds the position of the highest support. In this paper, several benchmarking functions are used to verify ECO algorithm." @default.
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- W1559183502 date "2010-01-01" @default.
- W1559183502 modified "2023-10-06" @default.
- W1559183502 title "Verifying Election Campaign Optimization Algorithm by Several Benchmarking Functions" @default.
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- W1559183502 doi "https://doi.org/10.1007/978-3-642-13498-2_76" @default.
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