Multi-objective whale optimization algorithm and multi-objective grey wolf optimizer for solving next release problem with developing fairness and uncertainty quality indicators

Selecting a set of requirements to implement in the next software release is an NP-Hard problem known as NRP. We propose multi-objective versions of grey wolf optimizer and whale optimization algorithm for solving bi-objective NRP. We used these two algorithms and three other evolutionary algorithms...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Jg. 51; H. 8; S. 5358 - 5387
Hauptverfasser:	Ghasemi, Mohsen, Bagherifard, Karamollah, Parvin, Hamid, Nejatian, Samad, Pho, Kim-Hung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2021 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computer Science Evolutionary algorithms Indicators Machines Manufacturing Mechanical Engineering Multiple objective analysis Optimization algorithms Pareto optimization Processes Uncertainty Next release problem Fairness quality indicator Whale optimization algorithm Grey wolf optimizer Uncertainty size
ISSN:	0924-669X, 1573-7497
Online-Zugang:	Volltext
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