A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM

The three most recent bio-inspired heuristics proposed in the OR literature for solving the flowshop scheduling problem are revised in the paper. All of these algorithms use local search procedures to improve solutions achieved by the main procedure. The author tries to asses the gains from hybridi...

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Main Author: JERZY DUDA
Format: Article
Language:English
Published: Gdańsk University of Technology 2007-01-01
Series:TASK Quarterly
Subjects:
Online Access:https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2075
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author JERZY DUDA
author_facet JERZY DUDA
author_sort JERZY DUDA
collection DOAJ
description The three most recent bio-inspired heuristics proposed in the OR literature for solving the flowshop scheduling problem are revised in the paper. All of these algorithms use local search procedures to improve solutions achieved by the main procedure. The author tries to asses the gains from hybridizing such heuristics with local search procedures. The achieved results confirm that simple local search algorithms can compete successfully with much complex hybrids.
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spelling doaj.art-4059d91dc6634d4d9023ce3c075daf312022-12-22T00:37:53ZengGdańsk University of TechnologyTASK Quarterly1428-63942007-01-01111-2A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEMJERZY DUDA0AGH University of Science and Technology, Faculty of Management, Department of Applied Computer Science, The three most recent bio-inspired heuristics proposed in the OR literature for solving the flowshop scheduling problem are revised in the paper. All of these algorithms use local search procedures to improve solutions achieved by the main procedure. The author tries to asses the gains from hybridizing such heuristics with local search procedures. The achieved results confirm that simple local search algorithms can compete successfully with much complex hybrids. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2075flowshop schedulingmetaheuristicslocal searchhybrid algorithms
spellingShingle JERZY DUDA
A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM
TASK Quarterly
flowshop scheduling
metaheuristics
local search
hybrid algorithms
title A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM
title_full A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM
title_fullStr A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM
title_full_unstemmed A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM
title_short A CRITICAL REVIEW OF THE NEWEST BIOLOGICALLY-INSPIRED ALGORITHMS FOR THE FLOWSHOP SCHEDULING PROBLEM
title_sort critical review of the newest biologically inspired algorithms for the flowshop scheduling problem
topic flowshop scheduling
metaheuristics
local search
hybrid algorithms
url https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2075
work_keys_str_mv AT jerzyduda acriticalreviewofthenewestbiologicallyinspiredalgorithmsfortheflowshopschedulingproblem
AT jerzyduda criticalreviewofthenewestbiologicallyinspiredalgorithmsfortheflowshopschedulingproblem