Optimization of job shop scheduling problems using teaching-learning-based optimization algorithm

DOI10.1007/S12597-013-0159-9zbMath1332.90112OpenAlexW2026155461MaRDI QIDQ260652

F. Blanchet-Sadri, M. Dambrine

Publication date: 22 March 2016

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-013-0159-9

zbMATH Keywords

job shop schedulingbenchmark problemsteaching-learning-based optimization

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (3)

Chemical reaction optimization algorithm for machining parameter of abrasive water jet cutting ⋮ Applying available-to-promise (ATP) concept in mixed-model assembly line sequencing problems in a make-to-order (MTO) environment: problem extension, model formulation and Lagrangian relaxation algorithm ⋮ Teaching-learning-based optimization with learning enthusiasm mechanism and its application in chemical engineering

Uses Software

• OR-Library

Cites Work

• OR-Library
• An agent-based parallel approach for the job shop scheduling problem with genetic algorithms
• A similar particle swarm optimization algorithm for job-shop scheduling to minimize makespan
• Comparing efficiencies of genetic crossover operators for one machine total weighted tardiness problem
• Variable neighbourhood search: Methods and applications
• A new hybrid genetic algorithm for job shop scheduling problem
• The Shifting Bottleneck Procedure for Job Shop Scheduling
• A Computational Study of the Job-Shop Scheduling Problem
• A Global Interpolator With Low Sample Rate for Multilevel Fast Multipole Algorithm

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