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...

Полное описание

Сохранить в:

Библиографические подробности
Главный автор:	Rivera Zarate, Gilberto
Другие авторы:	Florencia, Rogelio, Sánchez Solís, Julia Patricia, García, Vicente
Формат:	Artículo
Язык:	English
Опубликовано:	2021
Предметы:	Swarm intelligence Multi-objective optimisation Fuzzy outranking Unrelated parallel machine scheduling Particle swarm optimisation info:eu-repo/classification/cti/7
Online-ссылка:	https://doi.org/10.1016/j.engappai.2021.104556 https://www.sciencedirect.com/science/article/abs/pii/S0952197621003985
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Ваш комментарий будет первым!

Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application

Схожие документы