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 …

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 …

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 …

The distributed permutation flow shop to minimise the total flowtime

V Fernandez-Viagas, P Perez-Gonzalez… - Computers & Industrial …, 2018 - Elsevier
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 …

Distributed co-evolutionary memetic algorithm for distributed hybrid differentiation flowshop scheduling problem

G Zhang, B Liu, L Wang, D Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article deals with a practical distributed hybrid differentiation flowshop scheduling
problem (DHDFSP) for the first time, where manufacturing products to minimize makespan …

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 …

Memetic algorithms for business analytics and data science: a brief survey

P Moscato, L Mathieson - Business and consumer analytics: new ideas, 2019 - Springer
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 …

Multi-objective permutation and non-permutation flow shop scheduling problems with no-wait: a systematic literature review

H Singh, JS Oberoi, D Singh - RAIRO-Operations Research, 2021 - rairo-ro.org
Flow shop scheduling is a type of scheduling where sequence follows for each job on a set
of machines for processing. In practice, jobs in flow shops can arrive at irregular times, and …

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 …

Memetic discrete differential evolution with domain knowledge for blocking scheduling distributed flow shop with lot-streaming constraints

S Wang, Y Feng, X Li, G Zhang - Expert Systems with Applications, 2024 - Elsevier
This article addresses the blocking distributed flow shop scheduling problem with lot-
streaming (BDFSPL) with the objective of minimizing the maximum completion time, or …