Hybrid bat algorithm for flow shop scheduling problems

DOI10.1504/IJMOR.2016.077560zbMath1452.90174OpenAlexW2466048847MaRDI QIDQ2204236

M. K. Marichelvam, Ömür Tosun

Publication date: 15 October 2020

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

Full work available at URL: https://doi.org/10.1504/ijmor.2016.077560

zbMATH Keywords

metaheuristicslocal searchmakespanflowshop schedulingbat algorithm

Mathematics Subject Classification ID

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

Related Items (3)

Parameter less hybrid IG-Jaya approach for permutation flow shop scheduling problem ⋮ Learning to select operators in meta-heuristics: an integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem ⋮ An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors -- a case study

This page was built for publication: Hybrid bat algorithm for flow shop scheduling problems