Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Saku Kukkonen"'
Publikováno v:
Annals of the International Society of Dynamic Games ISBN: 9783030565336
Encashment process in the ATM network is an essential part of the banks’ activities. Timely encashment process plays an important role in building a good reputation of the bank that helps attract new clients. Uninterrupted work of money collector t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::323870c2af02242d0d640df8eec17218
https://doi.org/10.1007/978-3-030-56534-3_9
https://doi.org/10.1007/978-3-030-56534-3_9
Autor:
Carlos A. Coello Coello, Saku Kukkonen
Publikováno v:
CEC
In this paper, a simple and effective termination condition for both single- and multi-objective evolutionary algorithms has been proposed. The termination condition is based on simply observing objective values of solution candidates during generati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdac7736dc5d2081d7fd4aae91fb1b89
https://doi.org/10.1109/cec.2019.8790292
https://doi.org/10.1109/cec.2019.8790292
Autor:
Saku Kukkonen, Efren Mezura-Montes
Publikováno v:
CEC
In this paper, two existing constraint handling approaches are compared. The constraint handling approaches are based on the same principle of preferring feasible solution candidates over infeasible but they differ in the case of two infeasible solut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c4c8ac6058b0ab7e6cd42be8064e37
https://doi.org/10.1109/cec.2017.7969634
https://doi.org/10.1109/cec.2017.7969634
Publikováno v:
IECON
Bech, M M, Nørgård, C, Roemer, D B & Kukkonen, S 2016, A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution . in Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016 . IEEE Press, pp. 475-481, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/2016 . https://doi.org/10.1109/IECON.2016.7793419
Bech, M M, Nørgård, C, Roemer, D B & Kukkonen, S 2016, A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution . in Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016 . IEEE Press, pp. 475-481, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/2016 . https://doi.org/10.1109/IECON.2016.7793419
This paper illustrates how the relatively simple constrained multi-objective optimization algorithm Generalized Differential Evolution 3 (GDE3), can assist with the practical sizing of mechatronic components used in e.g. digital displacement fluid po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a89dfb3e40d643e61d6c8d16ec7b31f
https://doi.org/10.1109/iecon.2016.7793419
https://doi.org/10.1109/iecon.2016.7793419
Autor:
Saku Kukkonen, Carlos A. Coello Coello
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319440026
NEO
NEO
This chapter is about Generalized Differential Evolution (GDE), which is a general purpose optimizer for global nonlinear optimization. It is based on Differential Evolution (DE), which has been gaining popularity because of its simplicity and good o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0202f25930f26dc7eb39a12ca2e06569
https://doi.org/10.1007/978-3-319-44003-3_11
https://doi.org/10.1007/978-3-319-44003-3_11
Autor:
Saku Kukkonen, Carlos A. Coello Coello
Publikováno v:
CEC
In this paper, an Exponential Weighting Moving Average (EWMA) control parameter adaptation technique is tested with Generalized Differential Evolution 3 (GDE3) using a set of multi-objective test problems and performance metrics. The results with and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1b7cd6d47ca1cfc45f3f163717e3785
https://doi.org/10.1109/cec.2016.7744398
https://doi.org/10.1109/cec.2016.7744398
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 9:549-555
We compared two floating-point-encoded evolutionary algorithms (EA) – differential evolution (DE) and the generalized generation gap (G3) – using a set of problems with different characteristics. G3 is reported to offer superior performance with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8eca2546ac0a7a3d97f77338fb0eca2
https://doi.org/10.20965/jaciii.2005.p0549
https://doi.org/10.20965/jaciii.2005.p0549
Publikováno v:
Journal of chromatography. A. 1358
Performance characteristics of two advanced multi-column chromatographic separation processes with discontinuous feed, Multi-Column Recycling Chromatogrphy (MCRC) and Japan Organo (JO), were investigated for a ternary separation using multi-objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bafb2f8ac42f2f7e73612edb370bd86c
https://pubmed.ncbi.nlm.nih.gov/25060000
https://pubmed.ncbi.nlm.nih.gov/25060000
Autor:
Lampinen Jouni, Saku Kukkonen
Multi-objective optimization with Evolutionary Algorithms has been gaining popularity recently because its applicability in practical problems. Many practical problems contain also constraints, which must be taken care of during optimization process.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::387f918ac81df1682ede1098970ba7f1
https://doi.org/10.4018/978-1-59904-498-9.ch003
https://doi.org/10.4018/978-1-59904-498-9.ch003
Autor:
Jouni Lampinen, Saku Kukkonen
Publikováno v:
IEEE Congress on Evolutionary Computation
This paper presents results for the CEC 2009 Special Session on “Performance Assessment of Constrained / Bound Constrained Multi-Objective Optimization Algorithms” when Generalized Differential Evolution 3 has been used to solve a given set of te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e9334a739335a9e2559c048b5b70ea0
https://doi.org/10.1109/cec.2009.4983178
https://doi.org/10.1109/cec.2009.4983178