A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem

ZQ Zhang, B Qian, R Hu, HP Jin, L Wang - Swarm and Evolutionary …, 2021 - Elsevier
The distributed assembly permutation flow-shop scheduling problem (DAPFSP) is a typical
NP-hard combinatorial optimization problem that has wide applications in advanced …

A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem

ZQ Zhang, R Hu, B Qian, HP Jin, L Wang… - Expert Systems with …, 2022 - Elsevier
In this paper, a matrix-cube-based estimation of distribution algorithm (MCEDA) is proposed
to solve the energy-efficient distributed assembly permutation flow-shop scheduling problem …

An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem

SY Wang, L Wang - IEEE Transactions on Systems, Man, and …, 2015 - ieeexplore.ieee.org
In this paper, an estimation of distribution algorithm (EDA)-based memetic algorithm (MA) is
proposed for solving the distributed assembly permutation flow-shop scheduling problem …

An effective hybrid biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem

J Lin, S Zhang - Computers & Industrial Engineering, 2016 - Elsevier
Distributed assembly permutation flow-shop scheduling problem (DAPFSP) is widely exists
in modern supply chains and manufacturing systems. In this paper, an effective hybrid …

An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem

HB Song, YH Yang, J Lin, JX Ye - Applied Soft Computing, 2023 - Elsevier
In this paper, an effective Hyper Heuristic-based Memetic Algorithm (HHMA) is proposed to
solve the Distributed Assembly Permutation Flow-shop Scheduling Problem (DAPFSP) with …

Distributed assembly permutation flow-shop scheduling problem with sequence-dependent set-up times using a novel biogeography-based optimization algorithm

J Huang, X Gu - Engineering Optimization, 2022 - Taylor & Francis
This article proposes a novel biogeography-based optimization (NBBO) algorithm to solve
the distributed assembly permutation flow-shop scheduling problem with sequence …

Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems

H Yu, KZ Gao, ZF Ma, YX Pan - Swarm and Evolutionary Computation, 2023 - Elsevier
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …

Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion

HY Sang, QK Pan, JQ Li, P Wang, YY Han… - Swarm and evolutionary …, 2019 - Elsevier
Distributed assembly permutation flowshop scheduling problem (DAPFSP) has important
applications in modern assembly systems. In this paper, we present three variants of the …

A biased‐randomized iterated local search for the distributed assembly permutation flow‐shop problem

D Ferone, S Hatami… - International …, 2020 - Wiley Online Library
Modern production systems require multiple manufacturing centers—usually distributed
among different locations—where the outcomes of each center need to be assembled to …

A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem

J Lin, ZJ Wang, X Li - Swarm and evolutionary computation, 2017 - Elsevier
Distributed assembly permutation flow-shop scheduling problem (DAPFSP) is recognized as
an important class of problems in modern supply chains and manufacturing systems. In this …