A Multi-Objective and Multi-Dimensional Optimization Scheduling Method Using a Hybrid Evolutionary Algorithms with a Sectional Encoding Mode

A Multi-Objective and Multi-Dimensional Optimization Scheduling Method Using a Hybrid Evolutionary Algorithms with a Sectional Encoding Mode

Aimed at the problem of the green scheduling problem with automated guided vehicles (AGVs) in flexible manufacturing systems (FMS), the multi-objective and multi-dimensional optimal scheduling process is defined while considering energy consumption and multi-function of machines. The process is a co...

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Bibliographic Details
Main Authors: Wenxiang Xu, Shunsheng Guo
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sustainability
Subjects:
green scheduling
automated guided vehicle
flexible manufacturing system
multi-objective and multi-dimensional
energy consumption
genetic algorithm
discrete particle swarm optimization
Online Access:http://www.mdpi.com/2071-1050/11/5/1329

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