2017
DOI: 10.1016/j.asoc.2017.08.004
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A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization

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Cited by 138 publications
(51 citation statements)
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“…Although the ability to find and track moving optima precedes any deployment consideration, designing a framework capable of finding robust solutions over time has strong practical merits. Other practical considerations such as dealing with dynamic constraints [88], [89] and multiple conflicting objectives [90], [91] are important topics deserving further investigation. Proof.…”
Section: Discussionmentioning
confidence: 99%
“…Although the ability to find and track moving optima precedes any deployment consideration, designing a framework capable of finding robust solutions over time has strong practical merits. Other practical considerations such as dealing with dynamic constraints [88], [89] and multiple conflicting objectives [90], [91] are important topics deserving further investigation. Proof.…”
Section: Discussionmentioning
confidence: 99%
“…Then, several nondominated individuals in the last environment were introduced to the predicted population as the memory set. In the end, we adopted a kind of adaptive diversity maintenance strategy, which is similar to that in [46], to keep diversity. The diversity individuals produced by this diversity strategy are called random set.…”
Section: A Hybrid Predictive Strategy Carried Through Simultaneously mentioning
confidence: 99%
“…The prediction strategy based on center point is a widely used strategy [37,38,40,41,45,46,54,55]. The center point is defined as follows:…”
Section: The Prediction Strategy Based On Center Pointmentioning
confidence: 99%
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