Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application
This paper presents Outranking-based Particle Swarm Optimisation (O-PSO) a novel metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling Problem. It is a particle swarm optimisation algorithm enriched with the preferences of the Decision Maker (DM), articulated in a fuzzy...
Saved in:
主要作者: | Rivera Zarate, Gilberto |
---|---|
其他作者: | Florencia, Rogelio, Sánchez Solís, Julia Patricia, García, Vicente |
格式: | Artículo |
语言: | English |
出版: |
2021
|
主题: | |
在线阅读: | https://doi.org/10.1016/j.engappai.2021.104556 https://www.sciencedirect.com/science/article/abs/pii/S0952197621003985 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
An interactive ACO enriched with an eclectic multi-criteria ordinal classifier to address many-objective optimisation problems
由: Rivera Zarate, Gilberto
出版: (2023) -
Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking
由: Rivera Zarate, Gilberto
出版: (2021) -
Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms
由: Rivera Zarate, Gilberto
出版: (2021) -
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
出版: (2020) -
Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation
由: Rivera Zarate, Gilberto
出版: (2022)