Job-shop scheduling using neural networks

DOI10.1080/002075498193309zbMath0926.90043OpenAlexW2061344395MaRDI QIDQ4245569

Anant Singh Jain, Sheik Meeran

Publication date: 8 June 1999

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/002075498193309

zbMATH Keywords

neural networksjob-shop schedulingback-error propagation

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35)

Related Items (13)

Feasible insertions in job shop scheduling, short cycles and stable sets ⋮ Discovering dispatching rules using data mining ⋮ Instance space analysis and algorithm selection for the job shop scheduling problem ⋮ Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness ⋮ Reducing network and computation complexities in neural based real-time scheduling scheme ⋮ On Scheduling Policies for Streams of Structured Jobs ⋮ Fuzzy job-shop scheduling problems: a review ⋮ The crop growth planning problem in vertical farming ⋮ Deterministic job-shop scheduling: Past, present and future ⋮ A lower bound for the job insertion problem. ⋮ A bibliography of neural network business applications research: 1994--1998 ⋮ A hybrid method for solving stochastic job shop scheduling problems ⋮ Using MLP networks to design a production scheduling system

Uses Software

• JOBSHOP

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