An effective hybrid multi objective evolutionary algorithm for solving real time event in flexible job shop scheduling problem

This paper addresses the multi-objective model for a flexible job shop scheduling problem (FJSSP) to improve the system performance under the condition of machines break down asa real time event. It is important to identify the relevant performance measures to the mentioned problem for examining the...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 114; S. 78 - 90
Hauptverfasser:	Sreekara Reddy, M.B.S., Ratnam, Ch, Rajyalakshmi, G., Manupati, V.K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Elsevier Ltd 01.01.2018 Elsevier Science Ltd
Schlagworte:	Algorithms Classification Evolutionary algorithms Flexible job shop Genetic algorithms Heuristic methods Job shop scheduling Machine learning Mathematical models Multi-objective evolutionary algorithm Multiple objective analysis Nonlinear programming NP-hard Optimization Particle swarm optimization Real time Sorting algorithms Studies NP-hard Multi-objective evolutionary algorithm Optimization Flexible job shop
ISSN:	0263-2241, 1873-412X
Online-Zugang:	Volltext
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