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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Vydané v:	Applied intelligence (Dordrecht, Netherlands) Ročník 51; číslo 8; s. 5358 - 5387
Hlavní autori:	Ghasemi, Mohsen, Bagherifard, Karamollah, Parvin, Hamid, Nejatian, Samad, Pho, Kim-Hung
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.08.2021 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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