Hybrid artificial immune system and extremal optimization algorithm for permutation flowshop scheduling problem

Journal of Shanghai University (English Edition) ◽

10.1007/s11741-008-0413-2 ◽

2008 ◽

Vol 12 (4) ◽

pp. 352-357 ◽

Author(s):

Kai Sun ◽

Gen-ke Yang

Keyword(s):

Immune System ◽

Optimization Algorithm ◽

Artificial Immune System ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Artificial Immune ◽

Permutation Flowshop ◽

Extremal Optimization ◽

Flowshop Scheduling Problem

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A complete immunoglobulin-based artificial immune system algorithm for two-stage assembly flowshop scheduling problem with part splitting and distinct due windows

International Journal of Production Research ◽

10.1080/00207543.2019.1577565 ◽

2019 ◽

Vol 57 (10) ◽

pp. 3219-3237 ◽

Author(s):

Tsui-Ping Chung ◽

Feng Chen

Keyword(s):

Immune System ◽

Artificial Immune System ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Artificial Immune ◽

Artificial Immune System Algorithm ◽

Due Windows ◽

Flowshop Scheduling Problem ◽

Assembly Flowshop Scheduling ◽

Assembly Flowshop

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An Adaptive Parameter Free Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_15 ◽

2019 ◽

pp. 168-179

Author(s):

Yannis Marinakis ◽

Magdalene Marinaki

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Free Particle ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Swarm Optimization ◽

Adaptive Parameter ◽

Flowshop Scheduling Problem

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A Hybrid Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem

Optimization Theory, Decision Making, and Operations Research Applications - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-1-4614-5134-1_6 ◽

2012 ◽

pp. 91-101 ◽

Author(s):

Yannis Marinakis ◽

Magdalene Marinaki

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Flowshop Scheduling Problem

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A Hybrid Firefly - VNS Algorithm for the Permutation Flowshop Scheduling Problem

Variable Neighborhood Search - Lecture Notes in Computer Science ◽

10.1007/978-3-030-15843-9_21 ◽

2019 ◽

pp. 274-286

Author(s):

Andromachi Taxidou ◽

Ioannis Karafyllidis ◽

Magdalene Marinaki ◽

Yannis Marinakis ◽

Athanasios Migdalas

Keyword(s):

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Flowshop Scheduling Problem

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On insertion tie-breaking rules in heuristics for the permutation flowshop scheduling problem

Computers & Operations Research ◽

10.1016/j.cor.2013.12.012 ◽

2014 ◽

Vol 45 ◽

pp. 60-67 ◽

Author(s):

Victor Fernandez-Viagas ◽

Jose M. Framinan

Keyword(s):

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Flowshop Scheduling Problem

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An effective iterated greedy algorithm for the mixed no-idle permutation flowshop scheduling problem

Omega ◽

10.1016/j.omega.2013.10.002 ◽

2014 ◽

Vol 44 ◽

pp. 41-50 ◽

Author(s):

Quan-Ke Pan ◽

Rubén Ruiz

Keyword(s):

Greedy Algorithm ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Iterated Greedy Algorithm ◽

Iterated Greedy ◽

Flowshop Scheduling Problem

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A linkage mining in block-based evolutionary algorithm for permutation flowshop scheduling problem

Computers & Industrial Engineering ◽

10.1016/j.cie.2015.02.009 ◽

2015 ◽

Vol 83 ◽

pp. 159-171 ◽

Author(s):

Chia-Yu Hsu ◽

Pei-Chann Chang ◽

Meng-Hui Chen

Keyword(s):

Evolutionary Algorithm ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Block Based ◽

Flowshop Scheduling Problem

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A Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem with Total Flow Time Criterion

Parallel Problem Solving from Nature – PPSN XIII - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10762-2_16 ◽

2014 ◽

pp. 161-170 ◽

Author(s):

Valentino Santucci ◽

Marco Baioletti ◽

Alfredo Milani

Keyword(s):

Differential Evolution ◽

Differential Evolution Algorithm ◽

Flow Time ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Total Flow Time ◽

Evolution Algorithm ◽

Flowshop Scheduling Problem

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Upper and lower bounds for the permutation flowshop scheduling problem with minimal time lags

Optimization Letters ◽

10.1007/s11590-014-0761-7 ◽

2014 ◽

Vol 9 (3) ◽

pp. 465-482 ◽

Author(s):

Imen Hamdi ◽

Taïcir Loukil

Keyword(s):

Lower Bounds ◽

Upper And Lower Bounds ◽

Time Lags ◽

Scheduling Problem ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Minimal Time ◽

Flowshop Scheduling Problem

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Gencos wind–thermal scheduling problem using Artificial Immune System algorithm

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2013.06.036 ◽

2014 ◽

Vol 54 ◽

pp. 112-122 ◽

Author(s):

K. Lakshmi ◽

S. Vasantharathna

Keyword(s):

Immune System ◽

Artificial Immune System ◽

Scheduling Problem ◽

Artificial Immune ◽

Artificial Immune System Algorithm

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