Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Barend J. Leonard"'
Publikováno v:
Swarm Intelligence. 9:291-314
This article investigates various aspects of angle modulated particle swarm optimisers (AMPSO). Previous attempts at improving the algorithm have only been able to produce better results in a handful of test cases. With no clear understanding of when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaba97893d33c35a47af878daabe31da
https://doi.org/10.1007/s11721-015-0114-x
https://doi.org/10.1007/s11721-015-0114-x
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319099514
ANTS Conference
ANTS Conference
This paper proposes variants of the angle modulated particle swarm optimization (AMPSO) algorithm. A number of limitations of the original AMPSO algorithm are identified and the proposed variants aim to remove these limitations. The new variants are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7da43a5dd55979251ea021974befb10a
https://doi.org/10.1007/978-3-319-09952-1_4
https://doi.org/10.1007/978-3-319-09952-1_4
Publikováno v:
IEEE Congress on Evolutionary Computation
This paper investigates whether the optimal parameter configurations for particle swarm optimizers (PSO) change when changes in the search landscape occur. To test this, specific environmental changes that may occur during dynamic function optimizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc54c80ddc68353cd4a29f1274fb214a
https://doi.org/10.1109/cec.2013.6557748
https://doi.org/10.1109/cec.2013.6557748
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642326493
This study investigates the scalability of three particle swarm optimizers (PSO) on dynamic environments. The charged PSO (CPSO), quantum PSO (QPSO) and dynamic heterogeneous PSO (dHPSO) algorithms are evaluated on a number of DF1 and moving peaks be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d69bf4c588a4bef435940751d536de8f
https://doi.org/10.1007/978-3-642-32650-9_11
https://doi.org/10.1007/978-3-642-32650-9_11
Publikováno v:
SWIS
This paper investigates the performance of a dynamic heterogeneous particle swarm optimizer (dHPSO) on dynamic unconstrained optimization problems. The results are compared to that of charged and quantum particle swarms, specifically designed for opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7cbcace365368f4f62d155e9fc502c
https://doi.org/10.1109/sis.2011.5952564
https://doi.org/10.1109/sis.2011.5952564