TLBO with variable weights applied to shop scheduling problems

TLBO with variable weights applied to shop scheduling problems

The teaching–learning-based optimisation (TLBO) algorithm is a population-based metaheuristic inspired on the teaching–learning process observed in a classroom. It has been successfully used in a wide range of applications. In this study, the authors present a variant version of TLBO. In the propose...

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Bibliographic Details
Main Authors: Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
learning (artificial intelligence)
teaching
flow shop scheduling
search problems
statistical testing
simulated annealing
job shop scheduling
scheduling
optimisation
assigning zero
variable weights
teaching–learning-based optimisation algorithm
population-based
teaching–learning process
variant version
different weights
student phase
higher weights
assign weights
flow-shop
job-shop scheduling problems
original TLBO algorithm
solution quality
original version
fixed weight
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2018.1089

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https://digital-library.theiet.org/content/journals/10.1049/trit.2018.1089

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