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Hybrid Genetic Algorithm for Flow Shop Scheduling Problem

2010 International Conference on Intelligent Computation Technology and Automation, 2010
The flow shop scheduling problem (FSSP) is a NP-HARD combinatorial problem with strong industrial background. Among the meta-heuristics, genetic algorithms attracted a lot of attention. However, lacking the major evolution direction, the effectiveness of regular genetic algorithm is restricted.
Jianchao Tang   +3 more
openaire   +1 more source

Metaheuristic methods in hybrid flow shop scheduling problem

Expert Systems with Applications, 2011
Memetic algorithms are hybrid evolutionary algorithms that combine global and local search by using an evolutionary algorithm to perform exploration while the local search method performs exploitation. This paper presents two hybrid heuristic algorithms that combine particle swarm optimization (PSO) with simulated annealing (SA) and tabu search (TS ...
Choong, F.   +2 more
openaire   +2 more sources

Hybrid Flow Shop Scheduling Problems with Multiprocessor Tasks

Applied Mechanics and Materials, 2011
Hybrid flow shop scheduling problems with multiprocessor tasks to minimize the makespan have been addressed and solved efficiently. Several approaches were used, including greedy methods and metaheuristics. In this paper, we proposed a mixed integer programming (MIP) model that can define explicitly and precisely the nature of a given problem.
Hui Mei Wang   +3 more
openaire   +1 more source

Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem

Knowledge-Based Systems, 2020
As economic globalization, large manufacturing enterprises build production centers in different places to maximize profit. Therefore, scheduling problems among multiple production centers should be considered.
W. Shao, Zhongshi Shao, D. Pi
semanticscholar   +1 more source

An improved multi-objective whale optimization algorithm for the hybrid flow shop scheduling problem considering device dynamic reconfiguration processes

Expert systems with applications, 2021
Manufacturing industries frequently encounter production scheduling problems containing device dynamic reconfiguration processes (DRP). DRP refers to dynamic device adjustments (such as replacement of tools), leading to changes in the devices’ actual ...
Yankai Wang   +4 more
semanticscholar   +1 more source

A hybrid method for scheduling problems of flow shop

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004
Scheduling is a very complex but important problem. Based on the mathematical model of the scheduling problem, a hybrid algorithm combined the genetic algorithm with the branch and bound method is proposed to solve the flow shop scheduling problems. As for the randomicity and uncertainty of the GA, the feasible space may be broad and the efficiency is ...
null Zhenhao Xu, null Xingsheng Gu
openaire   +1 more source

Multi-Line Hybrid Flow Shop Scheduling Problem with Energy Considerations

2023 IEEE International Conference on Networking, Sensing and Control (ICNSC), 2023
This paper deals with the modelling of a new energy efficient scheduling problem. More specifically, it focuses on a multi-line hybrid flow shop. The problem consists of optimizing total energy cost under Time-of-Use pricing with respect to additional constraints: (i) total energy consumption, (ii) peak power limitations and (iii) makespan.
Taguemount, Sara   +2 more
openaire   +1 more source

A Hybrid Flow Shop Scheduling Problem

2019
Hybrid flow shop environment generally refers to the flow shop with multiple parallel machines per stage. Hybrid flow shop scheduling problem (HFSP) is a complex combinatorial optimization problem that came across in many real-life problems. In this study, a real-life HFSP of a lubricant company is considered, where the aim is to minimize total ...
Ayşegül Eda Özen   +6 more
openaire   +1 more source

Evolutionary Multitasking Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling Problem With Deterioration Effect

IEEE Transactions on Automation Science and Engineering
In the production enterprises, the distributed hybrid flow-shop scheduling problems widely exist in the actual production controlling and decision, especially in the production of steel and aluminum.
Huan Liu   +4 more
semanticscholar   +1 more source

A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem

Knowledge Discovery and Data Mining, 2021
Hybrid Flow Shop Scheduling Problem (HFSP) is an essential problem in the automated warehouse scheduling, aiming at optimizing the sequence of jobs and the assignment of machines to utilize the makespan or other objectives.
Fei Ni   +7 more
semanticscholar   +1 more source

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