Evolutionary algorithms for multi-objective stochastic resource availability cost problem

Masoud Arjmand, Amir Abbas Najafi, Majid Ebrahimzadeh

Year of publication:	2020
Authors:	Arjmand, Masoud ; Najafi, Amir Abbas ; Ebrahimzadeh, Majid
Published in:	Opsearch : journal of the Operational Research Society of India. - New Delhi : Springer India, ISSN 0975-0320, ZDB-ID 2516085-0. - Vol. 57.2020, 3, p. 935-985
Subject:	Scheduling \| Resource availability cost problem \| Multi-objective evolutionary algorithms \| Monte-Carlo simulation \| TOPSIS approach \| Evolutionärer Algorithmus \| Evolutionary algorithm \| Theorie \| Theory \| Scheduling-Verfahren \| Scheduling problem \| Multikriterielle Entscheidungsanalyse \| Multi-criteria analysis \| Simulation

Online Resource

Check full text access |

More access options

doi.org

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

Which error do you want to report?

Report: URL of this record is broken

Please note: Sometimes more than one URL is available for a resource. Please click on "More Options" to display these URLs

Report: Addition of an URL to that resource

Please note: Sometimes more than one URL is available for a resource. Please click on "More Options" to display these URLs

Report: The language(s) of that resource is/are…

Please note: Required language not in the list? Please use comment field

Report: Addition of an identifier to that resource

Report: report typo

Report: Add statement

Report: Add keywords

Please use the commentary box to describe other errors

Would you like to receive a feedback?

Commentary

Please type the code from the image

For general questions please use this address.

Persistent link: https://www.econbiz.de/10012302388

A service of the