A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation
The permutation flowshop problem is a classic machine scheduling problem where n jobs
must be processed on a set of m machines disposed in series and where each job must visit …
must be processed on a set of m machines disposed in series and where each job must visit …
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem
M Karimi-Mamaghan, M Mohammadi… - European Journal of …, 2023 - Elsevier
This paper aims at integrating machine learning techniques into meta-heuristics for solving
combinatorial optimization problems. Specifically, our study develops a novel efficient …
combinatorial optimization problems. Specifically, our study develops a novel efficient …
Lot streaming in hybrid flowshop scheduling problem by considering equal and consistent sublots under machine capability and limited waiting time constraint
In this study, lot streaming in hybrid flowshop scheduling problem under machine capability
and limited waiting time (lwt) constraints is investigated. The HFSP plays a vital role in the …
and limited waiting time (lwt) constraints is investigated. The HFSP plays a vital role in the …
A competitive memetic algorithm for the distributed two-stage assembly flow-shop scheduling problem
This article addresses the distributed two-stage assembly flow-shop scheduling problem
(DTSAFSP) with makespan minimisation criterion. A mixed integer linear programming …
(DTSAFSP) with makespan minimisation criterion. A mixed integer linear programming …
A hybrid backtracking search algorithm for permutation flow-shop scheduling problem
Abstract The Permutation Flow-shop Scheduling Problem (PFSP) which is an NP-complete
problem widely exists in many industrial manufacturing systems, such as motor industry …
problem widely exists in many industrial manufacturing systems, such as motor industry …
Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications
Evolutionary Algorithms (EAs) has attracted significantly attention with respect to complexity
scheduling problems, which is referred to evolutionary scheduling. However, EAs differ in …
scheduling problems, which is referred to evolutionary scheduling. However, EAs differ in …
An integrated framework for risk response planning under resource constraints in large engineering projects
Engineering project managers often face a challenge to allocate tight resources for
managing interdependent risks. In this paper, a quantitative framework of analysis for …
managing interdependent risks. In this paper, a quantitative framework of analysis for …
Population-based Tabu search with evolutionary strategies for permutation flow shop scheduling problems under effects of position-dependent learning and linear …
OA Arık - Soft computing, 2021 - Springer
This paper investigates permutation flow shop scheduling (PFSS) problems under the
effects of position-dependent learning and linear deterioration. In a PFSS problem, there are …
effects of position-dependent learning and linear deterioration. In a PFSS problem, there are …
Hybrid monkey search algorithm for flow shop scheduling problem under makespan and total flow time
This paper addresses a sub-population based hybrid monkey search algorithm to solve the
flow shop scheduling problem which has been proved to be non-deterministic polynomial …
flow shop scheduling problem which has been proved to be non-deterministic polynomial …
Linear Scheduling Method-Based Multi-Objective Optimization for Off-Site Construction Manufacturing
Optimal production scheduling in off-site construction is hindered by the lack of
comprehensive methods that simultaneously addresses workforce allocation, realistic labor …
comprehensive methods that simultaneously addresses workforce allocation, realistic labor …