Scalable and customizable benchmark problems for many-objective optimization

Solving many-objective problems (MaOPs) is still a significant challenge in the multi-objective optimization (MOO) field. One way to measure algorithm performance is through the use of benchmark functions (also called test functions or test suites), which are artificial problems with a well-defined...

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Bibliographic Details
Main Author: Meneghini, Ivan Reinaldo (author)
Other Authors: Alves, Marcos Antonio (author), Gaspar-Cunha, A. (author), Guimarães, Frederico Gadelha (author)
Format: article
Language:eng
Published: 2020
Subjects:
Benchmark functions
Scalable test functions
Many-objective optimization
Evolutionary algorithms
Ciências Naturais::Ciências da Computação e da Informação
Science & Technology
Online Access:http://hdl.handle.net/1822/68633
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/68633

Internet

http://hdl.handle.net/1822/68633

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