A Weighted Average Algorithm

版本 1.0.2 (11.4 MB) 作者: Jun Cheng
A novel meta-heuristic algorithm named Weighted Average (WAA) is proposed, which is based on the the weighted average position concept.
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In this algorithm, a new metaheuristic optimization algorithm based on the weighted average position concept, and named weighted average algorithm (WAA), is proposed and implemented. In the WAA, the weighted average position for the whole population is first established at each iteration. Subsequently, WAA introduces two movement strategies aimed at achieving a balanced approach between exploitation and exploration capabilities. The determination of movement strategies, whether focused on exploration or exploitation, relies on a parameter function that correlates with random constants and iteration times.
Cheng, Jun, and Wim De Waele. "Weighted average algorithm: a novel meta-heuristic optimization algorithm based on the weighted average position concept." Knowledge-Based Systems (2024): 112564.

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Jun Cheng (2024). A Weighted Average Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/174020-a-weighted-average-algorithm), MATLAB Central File Exchange. 检索时间: .

Cheng, Jun, and Wim De Waele. "Weighted average algorithm: a novel meta-heuristic optimization algorithm based on the weighted average position concept." Knowledge-Based Systems (2024): 112564.

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1.0.2

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