Dynamic reference vectors and biased crossover use for inverse model based evolutionary multi-objective optimization with irregular Pareto fronts

Appl. Intell., Volume 48, Issue 9, 2018, Pages 3116-3142.

Cited by: 3|Views10
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Abstract:

The recently developed inverse model based multi-objective evolutionary algorithm (IM-MOEA) has been shown to be an effective methodology for solving multi-objective optimization problems (MOPs) with regular Pareto fronts (PFs). Due to the limitations of uniformly distributed reference vectors and inverse model sampling, however, the IM-M...More

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