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    Wyświetlanie 1-7 z 7
    Tytuł:
    A comparative study on multi-swarm optimisation and bat algorithm for unconstrained non linear optimisation problems
    Autorzy:
    Baidoo, E.
    Opoku Oppong, S
    Powiązania:
    https://bibliotekanauki.pl/articles/117918.pdf
    Data publikacji:
    2016
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    swarm intelligence
    bio-inspired
    bat algorithm
    multi-swarm optimisation
    nonlinear optimisation
    Opis:
    A study branch that mocks-up a population of network of swarms or agents with the ability to self-organise is Swarm intelligence. In spite of the huge amount of work that has been done in this area in both theoretically and empirically and the greater success that has been attained in several aspects, it is still ongoing and at its infant stage. An immune system, a cloud of bats, or a flock of birds are distinctive examples of a swarm system. In this study, two types of meta-heuristics algorithms based on population and swarm intelligence - Multi Swarm Optimization (MSO) and Bat algorithms (BA) – are set up to find optimal solutions of continuous non-linear optimisation models. In order to analyze and compare perfect solutions at the expense of performance of both algorithms, a chain of computational experiments on six generally used test functions for assessing the accuracy and the performance of algorithms, in swarm intelligence fields are used. Computational experiments show that MSO algorithm seems much superior to BA.
    Źródło:
    Applied Computer Science; 2016, 12, 4; 59-77
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    FLC control for tuning exploration phase in bio-inspired metaheuristic
    Autorzy:
    Kiełkowicz, K.
    Grela, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/106299.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    Bat algorithm
    swarm intelligence
    metaheuristics
    optimization
    fuzzy logic
    Mamdami-Type inference system
    Opis:
    Growing popularity of the Bat Algorithm has encouraged researchers to focus their work on its further improvements. Most work has been done within the area of hybridization of Bat Algorithm with other metaheuristics or local search methods. Unfortunately, most of these modifications not only improves the quality of obtained solutions, but also increases the number of control parameters that are needed to be set in order to obtain solutions of expected quality. This makes such solutions quite impractical. What more, there is no clear indication what these parameters do in term of a search process. In this paper authors are trying to incorporate Mamdani type Fuzzy Logic Controller (FLC) to tackle some of these mentioned shortcomings by using the FLC to control the exploration phase of a bio-inspired metaheuristic. FLC also allows us to incorporate expert knowledge about the problem at hand and define expected behaviors of system – here process of searching in multidimensional search space by modeling the process of bats hunting for their prey.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2016, 16, 2; 32-38
    1732-1360
    2083-3628
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fault Current Limiter optimal sizing considering different Microgrid operational modes using Bat and Cuckoo Search Algorithm
    Autorzy:
    Arani, A. A. K.
    Bayati, N.
    Mohammadi, R.
    Gharehpetian, G. B.
    Sadeghi, S. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/140644.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fault current limiter (FCL)
    Bat Algorithm (BA)
    Cuckoo Search Algorithm (CSA)
    microgrid (MG)
    Opis:
    Nowadays, the development of smart grids has been the focus of attention due to its advantages for power systems. One of the aspects of smart grids defined by using distributed generation (DG) in a low voltage network is a microgrid (MG). Based on its operational states, MG can operate in different configurations such as grid-connected mode or off-grid mode. The switching between these states is one of the challenging issues in this technical area. The fault currents in different buses have higher value compared to islanded mode of MG when the MG is connected to the main grid, which influences the protection equipment. In this situation, some electrical devices may be damaged due to the fault currents. Application of a fault current limiter (FCL) is considered as an effective way to overcome this challenge. The optimal size of these FCLs can optimize the performance of an MG. In this paper, an index for FCL size optimization has been used. In addition, two optimization algorithms (Bat Algorithm and Cuckoo Search Algorithm) have been applied to the problem. The application of an FCL has been studied in grid-connected and islanded-mode. In addition, the application of the capacitor bank in both modes has been investigated. The results of simulations carried out by MATLAB have been presented and compared.
    Źródło:
    Archives of Electrical Engineering; 2018, 67, 2; 321--332
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zastosowanie półautomatycznego algorytmu doboru optymalnej liczby i położenia odwiertów wydobywczych
    Semi-Automatic Algorithm for Optimal Production Well Placement
    Autorzy:
    Łętkowski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/1835267.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Nafty i Gazu - Państwowy Instytut Badawczy
    Tematy:
    optymalizacja
    algorytm nietoperza
    położenie odwiertów
    NPV
    eksploatacja
    algorytmy rojowe
    optimization
    bat algorithm
    location of wells
    exploitation
    swarm algorithms
    Opis:
    Artykuł poświęcono zastosowaniu tzw. algorytmu nietoperza do rozwiązania problemu określenia optymalnej liczby i położenia odwiertów wydobywczych. W procesie optymalizacji jako funkcję celu wykorzystano bieżącą wartość netto (ang. net present value – NPV). Testy zbudowanego algorytmu przeprowadzono na przykładzie modelu symulacyjnego złoża PUNQ-S3, dostępne- go na zasadach open source. Zastosowany algorytm został wyposażony w dodatkowe mechanizmy zwiększające jego efektywność: mechanizm próbkowania sześcianu łacińskiego (ang. Latin hypercube sampling – LHS) oraz mechanizm eliminowania położeń odwiertów poza modelem. Przeprowadzone testy wskazują na bardzo dobrą zbieżność zbudowanego algorytmu w procesie optymalizacji.
    The article is devoted to the application of the so-called bat algorithm to solve the problem of determining the optimum number and location of production wells. This algorithm was proposed by Yang in 2010, and since then has been successfully used in solving both theoretical and practical optimization problems. The method belongs to a group of swarm optimization methods and in searching for the best solution, the algorithm uses a mechanism of echolocation, similar to the one used by a herd of bats. The current net present value (NPV) was used as a target function in the optimization process. The algorithm was tested on the example of the simulation model of the PUNQ-S3 reservoir available on an OpenSource basis. The applied algorithm was equipped with additional mechanisms increasing its effectiveness: Latin Hypercube Sampling (LHS) algorithm and the mechanism eliminating the locations of wells outside the operational area of the model. The first of the applied improvements ensures a better starting point for the proper optimization process, which significantly improves the convergence of the whole algorithm. The latter mechanism solves a problem specific to the issue in question.
    Źródło:
    Nafta-Gaz; 2018, 74, 8; 598-605
    0867-8871
    Pojawia się w:
    Nafta-Gaz
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Finding The Best Versions Of Schedule For Order Fulfillment At Food Companies
    Autorzy:
    Hrybkov, Serhii
    Kharkianen, Olena
    Gladka, Yuliya
    Powiązania:
    https://bibliotekanauki.pl/articles/1403610.pdf
    Data publikacji:
    2020
    Wydawca:
    Wyższa Szkoła Ekonomiczno-Humanistyczna w Bielsku-Białej
    Tematy:
    mathematical model
    planning of the orders fulfillment
    combined algorithms
    the bat algorithm
    Opis:
    The article suggests a mathematical model of the multicriteria problem of formation of production tasks and operational-calendar plans at food companies, taking into account their specific features. The research was carried out, the bat algorithm and its modifications were adjusted and tested. The choice of the bat algorithm based on the Levy flight random search strategy is substantiated. This approach provides the formation of new and alternative plans for orders fulfillment at a food company, taking into account the proposed mathematical model.
    Źródło:
    MIND Journal; 2020, 9; 1-12
    2451-4454
    Pojawia się w:
    MIND Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Performance investigation and element optimization of 2D array transducer using Bat Algorithm
    Autorzy:
    Tantawy, Dina Mohamed
    Eladawy, Mohamed
    Hassan, Mohamed Alimaher
    Mubarak, Roaa
    Powiązania:
    https://bibliotekanauki.pl/articles/140685.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    2D ultrasound arrays
    Binary Bat Algorithm
    Genetic Algorithm
    Optimization
    Opis:
    One of the least expensive and safest diagnostic modalities routinely used is ultrasound imaging. An attractive development in this field is a two-dimensional (2D) matrix probe with three-dimensional (3D) imaging. The main problems to implement this probe come from a large number of elements they need to use. When the number of elements is reduced the side lobes arising from the transducer change along with the grating lobes that are linked to the periodic disposition of the elements. The grating lobes are reduced by placing the elements without any consideration of the grid. In this study, the Binary Bat Algorithm (BBA) is used to optimize the number of active elements in order to lower the side lobe level. The results are compared to other optimization methods to validate the proposed algorithm.
    Źródło:
    Archives of Electrical Engineering; 2020, 69, 3; 561-579
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of air overpressure using bat algorithm
    Autorzy:
    Dehghani, Hesam
    Ali Mohammad Nia, Farid
    Powiązania:
    https://bibliotekanauki.pl/articles/2016495.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
    Tematy:
    metaheuristic
    bat algorithm
    air overpressure
    blasting
    Opis:
    Air overpressure (AOp) is an undesirable phenomenon in blasting operations. Due to high potential to cause damage to nearby structures and to cause injuries, to personnel or animals, AOp is one of the most dangerous adverse effect of blasting. For controlling and decreasing the effect of this phenomenon, it is necessary to predict it. Because of multiplicity of effective parameters and complexity of interactions among these parameters, empirical methods may not be fully appropriate for AOp estimation. The scope of this study is to predict AOp induced by blasting through a novel approach based on the bat algorithm. For this purpose, the parameters of 62 blasting operations were accurately recorded and AOp were measured for each operation. In the next stage, a new empirical predictor was developed to predict AOp. The results clearly showed the superiority of the proposed bat algorithm model in comparison with the empirical approaches.
    Źródło:
    Mining Science; 2021, 28; 77-92
    2300-9586
    2353-5423
    Pojawia się w:
    Mining Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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