Evolutionary algorithms for multi-objective stochastic resource availability cost problem
Masoud Arjmand, Amir Abbas Najafi, Majid Ebrahimzadeh
| Year of publication: |
2020
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|---|---|
| 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
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| 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 |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12597-020-00447-8 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012302388