An Optimality Theory-Based Proximity Measure for Set-Based Multiobjective Optimization.

IEEE Transactions on Evolutionary Computation(2016)

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摘要
Set-based multiobjective optimization methods, such as evolutionary multiobjective optimization (EMO) methods, attempt to find a set of Pareto-optimal solutions, instead of a single optimal solution. To evaluate these algorithms for their convergence to the efficient set in multiobjective optimization problems, the current performance metrics require the knowledge of the true Pareto-optimal soluti...
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关键词
Optimization,Convergence,Mathematical model,Minimization,Measurement uncertainty,Volume measurement
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