Autor: Baczyński, D. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A new concept of an artiﬁcial ecosystem algorithm for optimization problems
Autorzy:: Baczynski, D.
Powiązania:: https://bibliotekanauki.pl/articles/205935.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: artiﬁcial ecosystem algorithm
optimization
computational intelligence methods
Opis:: This article provides, ﬁrst, a review of applications of the ecosystem idea in diﬀerent computational intelligence methods. The article presents the bases of ecosystem operation and a new concept for modelling the phenomena occurring in an ecosystem, with the aim of using these for optimization purposes. The author’s original form of the Artiﬁcial Ecosystem Algorithm (AEA) and its constituent parts are presented. The construction of the proposed algorithm was dedicated for continuous optimisation. The operation of the Artiﬁcial Ecosystem Algorithm is also compared with an Evolutionary Algorithm and PSO for six test functions for various numbers of variables. Conclusions concerning operation, structure and complexity of AEA are provided at the end.
Źródło:: Control and Cybernetics; 2016, 45, 1; 5-36
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Optimization of urban MV multi-loop electric power distribution networks structure using Artificial Intelligence methods
Autorzy:: Parol, M.
Baczyński, D.
Brożek, J.
Powiązania:: https://bibliotekanauki.pl/articles/205678.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: electric power distribution networks
optimization of network structure
evolutionary algorithms
artificial neural networks
Opis:: Urban medium voltage (MV) electric power distribution networks are supplied with primary (HV/MV) substations. These networks supply secondary (MV/LV) transformer substations and are often built as closed structures - loop arrangements. The design problem of optimal urban MV distribution network structure consists of determining the number of primary substations, establishing the number of MV loops supplied with the primary substations, and assigning the secondary MV/LV transformer substations to the MV loops. The optimization task becomes especially complex when the number of the primary substations is greater than one. The minimum of total annual costs is sought. The total annual costs include: fixed (investment) costs, variable (operating) costs and supply-interruption costs. Typical constraints are also accounted for. The so defined optimization problem is a complicated mathematical problem in respect of computational effort. In order to resolve the mathematical model of the optimization problem, evolutionary algorithms and artificial neural networks have been used. Exemplary computational experiments have been executed on the model of urban MV multi-loop electric power distribution networks. The results from the evolutionary algorithm and the artificial neural network calculations have been compared.
Źródło:: Control and Cybernetics; 2012, 41, 3; 667-689
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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