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Tytuł: Recognizing Sets in Evolutionary Multiobjective Optimization, Journal of Telecommunications and Information Technology, 2012, nr 1

Autor:

Gajda-Zagórska, Ewa

Data wydania:

2012, nr 1

Typ zasobu:

artykuł

Opis:

Among Evolutionary Multiobjective Optimization Algorithms (EMOA) there are many which find only Paretooptimal solutions. These may not be enough in case of multimodal problems and non-connected Pareto fronts, where more information about the shape of the landscape is required. We propose a Multiobjective Clustered Evolutionary Strategy (MCES) which combines a hierarchic genetic algorithm consisting of multiple populations with EMOA rank selection. In the next stage, the genetic sample is clustered to recognize regions with high density of individuals. These regions are occupied by solutions from the neighborhood of the Pareto set. We discuss genetic algorithms with heuristic and the concept of well-tuning which allows for theoretical verification of the presented strategy. Numerical results begin with one example of clustering in a single-objective benchmark problem. Afterwards, we give an illustration of the EMOA rank selection in a simple two-criteria minimization problem and provide results of the simulation of MCES for multimodal, multi-connected example. The strategy copes with multimodal problems without losing local solutions and gives better insight into the shape of the evolutionary landscape. What is more, the stability of solutions in MCES may be analyzed analytically.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:1221 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2012.1.1255

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

multiobjective optimization clustering basin of attraction genetic algorithm

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

29 sie 2024

Data dodania obiektu:

4 lip 2013

Liczba wyświetleń treści obiektu:

84

Wszystkie dostępne wersje tego obiektu:

https://bc.itl.waw.pl/publication/1527

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Wyświetl opis w formacie OAI-PMH:

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Nazwa wydania Data
Gajda-Zagórska, Ewa, 2012, nr 1, Recognizing Sets in Evolutionary Multiobjective Optimization, Journal of Telecommunications and Information Technology, 2012, nr 1 29 sie 2024

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

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biblioteka@il-pib.pl

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