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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Bibliographic Details

Published in:	Proceedings (Brazilian Conference on Intelligent Systems. Online) pp. 515 - 520
Main Authors:	Martins, Luiz G.A., Franca, Tiago P., de Oliveira, Gina M.B.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2019
Subjects:	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
Online Access:	Get full text
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