Investigation on a non-convex Pareto Frontier(for MOO)

版本 1.0.3 (5.0 KB) 作者: Chixin Xiao
Three aggregate objective functions (AOF), the weighted sum, Tchebycheff and the weighted Lk-metric, are investigated respectively.
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This is one of the basic experiments to support my recent paper as follows,
C. Xiao, D. Sutanto, K. M. Muttaqi and M. Zhang, "A Judicious Decision-Making Approach for Power Dispatch in Smart Grid Using a Multiobjective Evolutionary Algorithm Based on Decomposition," in IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 1918-1929, March-April 2020, doi: 10.1109/TIA.2019.2960478.
Three code-segments are provided respectively to investigate the performance while obtaining the scalarized non-convex PF by using different trade-off levels. The simulation results are helpful for researchers to make sense of the multi-objective optimization algorithms based on decomposition (e.g. MOEA/D).

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Chixin Xiao (2025). Investigation on a non-convex Pareto Frontier(for MOO) (https://www.mathworks.com/matlabcentral/fileexchange/73668-investigation-on-a-non-convex-pareto-frontier-for-moo), MATLAB Central File Exchange. 检索时间: .

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