A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time
T Meng, QK Pan - Swarm and Evolutionary Computation, 2021 - Elsevier
We solve a distributed permutation flowshop scheduling problem (DPFSP) with non-
identical factories, which is also referred to as the distributed heterogeneous permutation …
identical factories, which is also referred to as the distributed heterogeneous permutation …
A memetic differential evolution algorithm for energy-efficient parallel machine scheduling
X Wu, A Che - Omega, 2019 - Elsevier
This paper considers an energy-efficient bi-objective unrelated parallel machine scheduling
problem to minimize both makespan and total energy consumption. The parallel machines …
problem to minimize both makespan and total energy consumption. The parallel machines …
The distributed permutation flow shop to minimise the total flowtime
In the last years, researchers are paying special attention to scheduling in distributed
environments due to the increasing benefits of multi-factory manufacture. In this paper, we …
environments due to the increasing benefits of multi-factory manufacture. In this paper, we …
An estimation of distribution algorithm-based hyper-heuristic for the distributed assembly mixed no-idle permutation flowshop scheduling problem
F Zhao, B Zhu, L Wang - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
The distributed assembly mixed no-idle permutation flowshop scheduling problem
(DAMNIPFSP), a common occurrence in modern industries like integrated circuit production …
(DAMNIPFSP), a common occurrence in modern industries like integrated circuit production …
Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times
Unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup
times has received more attention due to its various industrial and scheduling applications …
times has received more attention due to its various industrial and scheduling applications …
A discrete water wave optimization algorithm for no-wait flow shop scheduling problem
F Zhao, H Liu, Y Zhang, W Ma, C Zhang - Expert Systems with Applications, 2018 - Elsevier
In this paper, a discrete Water Wave Optimization algorithm (DWWO) is proposed to solve
the no-wait flowshop scheduling problem (NWFSP) with respect to the makespan criterion …
the no-wait flowshop scheduling problem (NWFSP) with respect to the makespan criterion …
Distributed co-evolutionary memetic algorithm for distributed hybrid differentiation flowshop scheduling problem
This article deals with a practical distributed hybrid differentiation flowshop scheduling
problem (DHDFSP) for the first time, where manufacturing products to minimize makespan …
problem (DHDFSP) for the first time, where manufacturing products to minimize makespan …
Multidirection update-based multiobjective particle swarm optimization for mixed no-idle flow-shop scheduling problem
W Zhang, W Hou, C Li, W Yang… - … System Modeling and …, 2021 - ieeexplore.ieee.org
The Mixed No-Idle Flow-shop Scheduling Problem (MNIFSP) is an extension of flow-shop
scheduling, which has practical significance and application prospects in production …
scheduling, which has practical significance and application prospects in production …
Memetic algorithms for business analytics and data science: a brief survey
This chapter reviews applications of Memetic Algorithms in the areas of business analytics
and data science. This approach originates from the need to address optimization problems …
and data science. This approach originates from the need to address optimization problems …
Metaheuristics with restart and learning mechanisms for the no-idle flowshop scheduling problem with makespan criterion
The no-idle permutation flowshop scheduling problem (NIPFSP) extends the well-known
permutation flowshop scheduling problem, where idle time is not allowed on the machines …
permutation flowshop scheduling problem, where idle time is not allowed on the machines …