Online intensification of search around solutions of interest for multi/many-objective optimization

In practical multi/many-objective optimization problems, a decision maker is often only interested in a handful of solutions of interest (SOI) instead of the entire Pareto Front (PF). It is therefore of significant research interest to design algorithms that can automatically detect SOIs and search...

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Vydané v:	2020 IEEE Congress on Evolutionary Computation (CEC) s. 1 - 8
Hlavní autori:	Ray, Tapabrata, Singh, Hemant Kumar, Habib, Ahsanul, Rodemann, Tobias, Olhofer, Markus
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2020
Predmet:	Approximation algorithms Benchmark testing Decision making Many-objective optimization Minimization Optimization Search problems Solutions of interest Visualization
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