Bio-Inspired Algorithms for Many-Objective Discrete Optimization

Bio-inspired approaches have been recently investigated as an alternative to solve intractable multi-objective problems with many objectives. In a recent paper, we proposed a many-objective algorithm named MACO/NDS which is based on ant colony optimization (ACO). Although MACO/NDS has shown to be a...

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Vydáno v:	Proceedings (Brazilian Conference on Intelligent Systems. Online) s. 515 - 520
Hlavní autoři:	Martins, Luiz G.A., Franca, Tiago P., de Oliveira, Gina M.B.
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.10.2019
Témata:	Ant colony optimization Approximation algorithms discrete problems Evolutionary algorithms Evolutionary computation Many objective algorithms Materials requirements planning Measurement Optimization Quality of service Routing
ISSN:	2643-6264
On-line přístup:	Získat plný text
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