Journal ArticleDOI
An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times
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TLDR
A machine position-based mathematical model is designed and an improved artificial bee colony (IABC) algorithm is proposed that employs a two-level encoding and a decoding method of the machine selection to ensure feasible schedules for heterogeneous workshops scheduling.About:
This article is published in Computers & Industrial Engineering.The article was published on 2020-09-01. It has received 62 citations till now. The article focuses on the topics: Artificial bee colony algorithm & Job shop scheduling.read more
Citations
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Journal ArticleDOI
A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System
TL;DR: In this paper , a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the energy-efficient distributed no-idle flow shop scheduling problem (FSP) in a heterogeneous factory system with the criteria of minimizing the total tardiness (TTD), total energy consumption (TEC), and factory load balancing (FLB).
Journal ArticleDOI
Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D
TL;DR: In this paper, a multi-objective evolutionary algorithm based on decomposition (MOEA/D) is proposed for energy-efficient scheduling of distributed heterogeneous welding flow shop (DHWFSP).
Journal ArticleDOI
Multi-objective evolutionary algorithm based on multiple neighborhoods local search for multi-objective distributed hybrid flow shop scheduling problem
TL;DR: A multi-objective evolutionary algorithm based on multiple neighborhoods local search (MOEA-LS) is proposed to solve the multi- objective distributed hybrid flow shop scheduling problem (MDHFSP) with the objectives of minimizing makespan, total weighted earliness and tardiness, and total workload.
Journal ArticleDOI
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
TL;DR: In this article , three mixed-integer linear programming (MILP) models and a constraint programming (CP) model are formulated for distributed hybrid flow shop scheduling with sequence-dependent setup times (DHFSP-SDST).
Journal ArticleDOI
A cooperated shuffled frog-leaping algorithm for distributed energy-efficient hybrid flow shop scheduling with fuzzy processing time
Jingcao Cai,Deming Lei +1 more
TL;DR: A cooperated shuffled frog-leaping algorithm (CSFLA) is presented to optimize fuzzy makespan, total agreement index and fuzzy total energy consumption simultaneously and computational results validate that CSFLA has promising advantages on solving the considered DEHFSP.
References
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Journal ArticleDOI
A genetic algorithm for hybrid flowshops with sequence dependent setup times and machine eligibility
Rubén Ruiz,Concepción Maroto +1 more
TL;DR: This paper aims to provide a metaheuristic, in the form of a genetic algorithm, to a complex generalized flowshop scheduling problem that results from the addition of unrelated parallel machines at each stage, sequence dependent setup times and machine eligibility.
Journal ArticleDOI
The third comprehensive survey on scheduling problems with setup times/costs
TL;DR: This paper is the third comprehensive survey paper which provides an extensive review of about 500 papers that have appeared since the mid-2006 to the end of 2014, including static, dynamic, deterministic, and stochastic environments, based on shop environments as single machine, parallel machine, flowshop, job shop, or open shop.
Journal ArticleDOI
The distributed permutation flowshop scheduling problem
Bahman Naderi,Rubén Ruiz +1 more
TL;DR: The DPFSP is characterized and six different alternative mixed integer linear programming (MILP) models that are carefully and statistically analyzed for performance are proposed.
Journal ArticleDOI
An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process
TL;DR: An effective artificial bee colony (ABC) algorithm with the job-permutation-based representation for solving the scheduling problem resulting from a steelmaking process is proposed.
Journal ArticleDOI
A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation
TL;DR: An effective discrete artificial bee colony (DABC) algorithm that has a hybrid representation and a combination of forward decoding and backward decoding methods for solving the HFS problem with the makespan criterion is presented.
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A scatter search algorithm for the distributed permutation flowshop scheduling problem
Bahman Naderi,Rubén Ruiz +1 more