Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A hybrid quantum-inspired genetic algorithm for multiobjective flow shop scheduling.

Bin-Bin Li1, Ling Wang

  • 1Department of Automation, Tsinghua University, Beijing 100084, China. binbinlee@mails.tsinghua.edu.cn

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|June 7, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A rice calmodulin-like protein OsCML27 participates in drought tolerance by fine-tuning OsRbohB-mediated ROS signaling.

Science advances·2026
Same author

Cortical activation and functional connectivity during thumb-to-finger opposition in patients with stroke with varying functional levels: insights from fNIRS.

Topics in stroke rehabilitation·2026
Same author

Whole-Brain Neural Connectivity to Cholinergic Neurons in the Lower Thoracic Intermediolateral Column.

CNS neuroscience & therapeutics·2026
Same author

Gallic acid: A promising anti-non-small cell lung cancer compound targeting early growth response protein-1 for apoptosis and ferroptosis.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Ze-qi Decoction Inhibits Neutrophil Extracellular Trap Formation to Suppress the Progression and Metastasis of Non-Small Cell Lung Cancer.

Integrative cancer therapies·2026
Same author

Characterization and production optimization of genistein by the novel endophytic fungus Aspergillus sydowii J11 isolated from pigeon pea (Cajanus cajan) and its antibacterial and antioxidant properties.

Biotechnology letters·2026
Same journal

Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015
Same journal

Meta-Analysis of the First Facial Expression Recognition Challenge.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Adjustable model-based fusion method for multispectral and panchromatic images.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
See all related articles

A novel hybrid quantum-inspired genetic algorithm (HQGA) effectively solves the multiobjective flow shop scheduling problem (FSSP). This approach combines quantum computing principles with genetic algorithms for improved optimization in complex scheduling tasks.

Area of Science:

  • Operations Research
  • Computer Science
  • Quantum Computing

Background:

  • The multiobjective flow shop scheduling problem (FSSP) is a complex, NP-hard combinatorial optimization challenge with significant engineering applications.
  • Existing methods often struggle with the scale and complexity of multiobjective FSSP, necessitating advanced algorithmic approaches.

Purpose of the Study:

  • To introduce a novel hybrid quantum-inspired genetic algorithm (HQGA) designed to address the multiobjective flow shop scheduling problem.
  • To enhance the exploration and exploitation capabilities for finding optimal or near-optimal scheduling solutions.

Main Methods:

  • A hybrid approach integrating a quantum-inspired genetic algorithm (QGA) using Q-bit representation and quantum gate operations for exploration.
  • Incorporation of a permutation-based genetic algorithm (PGA) for direct scheduling space exploration and exploitation.

Related Experiment Videos

  • Utilization of a randomly weighted linear-sum function for QGA and nondominated sorting with Pareto front classification for PGA to handle multiobjective evaluation.
  • Development of two population trimming techniques to maintain population diversity.

    • Main Results:

    • The proposed HQGA demonstrated effectiveness in solving multiobjective FSSPs.
    • Simulation results and performance metric comparisons validated the algorithm's capabilities.
    • The hybrid strategy successfully balanced exploration and exploitation for superior scheduling solutions.

    Conclusions:

    • The hybrid quantum-inspired genetic algorithm (HQGA) presents a powerful and effective method for tackling the multiobjective flow shop scheduling problem.
    • The integration of quantum-inspired mechanisms and traditional genetic algorithms offers significant advantages in optimization performance and solution quality.