Detail publikace
Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set
KŮDELA, J. NEVORAL, T. HOLOUBEK, T.
Anglický název
Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set
Typ
kapitola v knize
Jazyk
en
Originální abstrakt
In the field of evolutionary computation, benchmarking has a pivotal place in both the development of novel algorithms, and in performing comparisons between existing techniques. In this paper, the computational comparison of the Brain Storm Optimization (BSO) algorithm (a swarm intelligence paradigm inspired by the behaviors of the human process of brainstorming) was performed. A selected representative of the BSO algorithms (namely, BSO20) was compared with other selected methods, which were a mix of canonical methods (both swarm intelligence and evolutionary algorithms) and state-of-the-art techniques. As a test bed, the ambiguous benchmark set was employed. The results showed that even though BSO is not among the best algorithms on this test bed, it is still a well performing method comparable to some state-of-the-art algorithms.
Anglický abstrakt
In the field of evolutionary computation, benchmarking has a pivotal place in both the development of novel algorithms, and in performing comparisons between existing techniques. In this paper, the computational comparison of the Brain Storm Optimization (BSO) algorithm (a swarm intelligence paradigm inspired by the behaviors of the human process of brainstorming) was performed. A selected representative of the BSO algorithms (namely, BSO20) was compared with other selected methods, which were a mix of canonical methods (both swarm intelligence and evolutionary algorithms) and state-of-the-art techniques. As a test bed, the ambiguous benchmark set was employed. The results showed that even though BSO is not among the best algorithms on this test bed, it is still a well performing method comparable to some state-of-the-art algorithms.
Klíčová slova anglicky
Brain Storm Optimization; Ambiguous benchmark set; Benchmarking; Numerical optimization; Single objective problems
Vydáno
26.06.2022
Nakladatel
Springer, Cham
ISBN
978-3-031-09726-3
Kniha
Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13344.
Strany od–do
367–379
Počet stran
13
BIBTEX
@inbook{BUT178338,
author="Jakub {Kůdela} and Tomáš {Nevoral} and Tomáš {Holoubek},
title="Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set",
booktitle="Advances in Swarm Intelligence. ICSI 2022, Part II. Lecture Notes in Computer Science, vol 13344.",
year="2022",
month="June",
pages="367--379",
publisher="Springer, Cham",
isbn="978-3-031-09726-3"
}