Improved Multi‐Objective Evolution Algorithm for Energy‐Aware Distributed Heterogeneous Hybrid Flowshop Scheduling Problem

This study investigates the distributed heterogeneous hybrid flow‐shop scheduling problem (DHHFSP) with the tardiness and energy consumption criteria. A decomposition‐based multi‐objective artificial bee colony (MOABC/D) algorithm is developed to solve the scheduling problem. In the MOABC/D algorith...

Full description

Saved in:
Bibliographic Details
Published in:IET collaborative intelligent manufacturing Vol. 7; no. 1
Main Authors: Li, Yingli, Liu, Haibing, Zhang, Biao
Format: Journal Article
Language:English
Published: 12.09.2025
ISSN:2516-8398, 2516-8398
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first