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    Wyświetlanie 1-9 z 9
    Tytuł:
    Multi-Criteria 3-Dimension Bin Packing Problem
    Autorzy:
    Kacprzak, Ł.
    Rudy, J.
    Żelazny, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/409522.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    bin packing problem
    multi-criteria
    genetic algorithm
    simulated annealing
    discrete optimization
    Pareto efficiency
    Opis:
    In this paper a multi-criteria approach to the 3-dimensions bin packing problem is considered. The chosen maximization criteria are the number and the total volume of the boxes loaded into the container. Existing solution representation and decoding method are applied to the problem. Next, two metaheuristic algorithms, namely simulated annealing and genetic algorithm are developed using the TOPSIS method for solution evaluation. Both algorithms are then used to obtain approximations of the Pareto front for a set of benchmarks from the literature. Despite the fact that both criteria work in favor of each other, we managed to obtain multiple solutions in many cases, proving that lesser number of boxes can lead to better utilization of the container volume and vice versa. We also observed, that the genetic algorithms performs slightly better in our test both in the terms of hyper-volume indicator and number of non-dominated solutions.
    Źródło:
    Research in Logistics & Production; 2015, 5, 1; 85-94
    2083-4942
    2083-4950
    Pojawia się w:
    Research in Logistics & Production
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Combining SMT and Simulated Annealing into a Hybrid Planning Method
    Autorzy:
    Skaruz, J.
    Niewiadomski, A.
    Penczek, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/92934.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    concrete planning
    genetic algorithm
    satisfiability modulo theories
    simulated annealing
    web service composition
    planics
    Opis:
    We present a new approach to the concrete planning (CP) - a stage of theWeb service composition in the PlanICS framework. A new hybrid algorithm (HSA) based on a combination of Simulated Annealing (SA) with Satisfiability Modulo Theories (SMT) has been designed and implemented. The main idea of our hybrid solution is to use an SMT-based procedure in order to generate an initial individual and then improve it during subsequent iterations of SA. The experimental results show that HSA is superior to the other methods we have applied to the CP problem, including Genetic Algorithm, an SMT-based approach, and our previously developed hybrids.
    Źródło:
    Studia Informatica : systems and information technology; 2015, 1-2(19); 43-48
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Localization in Wireless Sensor Networks Using Heuristic Optimization Techniques
    Autorzy:
    Niewiadomska-Szynkiewicz, E.
    Marks, M.
    Kamola, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/308429.pdf
    Data publikacji:
    2011
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    evolutionary strategy
    genetic algorithm
    localization
    location systems
    nonconvex optimization
    simulated annealing
    wireless sensor network
    Opis:
    Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, we address issues associated with the application of heuristic techniques to accurate localization of nodes in a WSN system. We survey and discuss the location systems based on simulated annealing, genetic algorithms and evolutionary strategies. Finally, we describe and evaluate our methods that combine trilateration and heuristic optimization.
    Źródło:
    Journal of Telecommunications and Information Technology; 2011, 4; 55-64
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of thermo-electric coolers using hybrid genetic algorithm and simulated annealing
    Autorzy:
    Khanh, D. V. K.
    Vasant, P.
    Elamvazuthi, I.
    Dieu, V. N.
    Powiązania:
    https://bibliotekanauki.pl/articles/230105.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    thermo-electric coolers
    genetic algorithm
    simulated annealing
    coefficient of performance
    rate of refrigeration
    fitness function
    Opis:
    Thermo-electric Coolers (TECs) nowadays are applied in a wide range of thermal energy systems. This is due to their superior features where no refrigerant and dynamic parts are needed. TECs generate no electrical or acoustical noise and are environmentally friendly. Over the past decades, many researches were employed to improve the efficiency of TECs by enhancing the material parameters and design parameters. The material parameters are restricted by currently available materials and module fabricating technologies. Therefore, the main objective of TECs design is to determine a set of design parameters such as leg area, leg length and the number of legs. Two elements that play an important role when considering the suitability of TECs in applications are rated of refrigeration (ROR) and coefficient of performance (COP). In this paper, the review of some previous researches will be conducted to see the diversity of optimization in the design of TECs in enhancing the performance and efficiency. After that, single-objective optimization problems (SOP) will be tested first by using Genetic Algorithm (GA) and Simulated Annealing (SA) to optimize geometry properties so that TECs will operate at near optimal conditions. Equality constraint and inequality constraint were taken into consideration.
    Źródło:
    Archives of Control Sciences; 2014, 24, 2; 155-176
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial immune system in planning deliveries in a short time
    Autorzy:
    Mrówczyńska, B.
    Król, A.
    Czech, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/200739.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    artificial immune system
    genetic algorithm
    simulated annealing
    open vehicle routing problem
    on-time delivery
    Taguchi method
    Opis:
    In the calculations presented in the article, an artificial immune system (AIS) was used to plan the routes of the fleet of delivery vehicles supplying food products to customers waiting for the delivery within a specified, short time, in such a manner so as to avoid delays and minimize the number of delivery vehicles. This type of task is classified as an open vehicle routing problem with time windows (OVRPWT). It comes down to the task of a traveling salesman, which belongs to NP-hard problems. The use of the AIS to solve this problem proved effective. The paper compares the results of AIS with two other varieties of artificial intelligence: genetic algorithms (GA) and simulated annealing (SA). The presented methods are controlled by sets of parameters, which were adjusted using the Taguchi method. Finally, the results were compared, which allowed for the evaluation of all these methods. The results obtained using AIS proved to be the best.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 5; 969-980
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization using chaotic neural network and its application to lighting design
    Autorzy:
    Nanba, R.
    Hasegawa, M.
    Nishita, T.
    Aihara, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/205753.pdf
    Data publikacji:
    2002
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    algorytm genetyczny
    denaturacja symulowana
    grafika komputerowa
    metoda energetyczna
    model świetlny
    sieć neuronowa chaotyczna
    zagadnienie optymalizacji kombinatorycznej
    chaotic neural networks
    combinatorial optimization problem
    computer graphics
    genetic algorithm
    lighting design
    radiosity method
    simulated annealing
    Opis:
    We have developed a chaotic neurodynamical searching method for solving the lighting design problems. The goal of this method is to design interior lighting that satisfies required illuminance distribution. We can obtain accurate illuminance distribution by using the radiosity method to calculate interreflection of lights. We formulate the lighting design problem that considers the interreflection of lights as a combinatorial optimization problem, and construct a chaotic neural network which searches the optimum solution of the lighting design problem. The calculated illuminance distribution is visualized using computer graphics. We compare this optimization method with the conventional neural network with gradient dynamics, simulated annealing, and the genetic algorithm, and clarify the effectiveness of the proposed method based on the chaotic neural network.
    Źródło:
    Control and Cybernetics; 2002, 31, 2; 249-269
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-objective optimization of in-situ bioremediation of groundwater using a hybrid metaheuristic technique based on differential evolution, genetic algorithms and simulated annealing
    Wielozadaniowa optymalizacja bioremediacji wód gruntowych in situ z zastosowaniem hybrydowej techniki metaheurystycznej opartej na zróżnicowanej ewolucji, algorytmach genetycznych i symulowanym wyżarzaniu
    Autorzy:
    Kumar, D.
    Ch, S.
    Mathur, S.
    Adamowski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/292714.pdf
    Data publikacji:
    2015
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    differential evolution
    fuzzy logic
    genetic algorithm
    groundwater
    hybrid algorithm
    in situ bioremediation
    simulated annealing
    support vector machine (SVM)
    bioremediacja in situ
    algorytm hybrydowy
    algorytm genetyczny
    logika rozmyta
    maszyna wektorów nośnych SVM
    wyżarzanie symulowane
    wody gruntowe
    zróżnicowana ewolucja
    Opis:
    Groundwater contamination due to leakage of gasoline is one of the several causes which affect the groundwater environment by polluting it. In the past few years, In-situ bioremediation has attracted researchers because of its ability to remediate the contaminant at its site with low cost of remediation. This paper proposed the use of a new hybrid algorithm to optimize a multi-objective function which includes the cost of remediation as the first objective and residual contaminant at the end of the remediation period as the second objective. The hybrid algorithm was formed by combining the methods of Differential Evolution, Genetic Algorithms and Simulated Annealing. Support Vector Machines (SVM) was used as a virtual simulator for biodegradation of contaminants in the groundwater flow. The results obtained from the hybrid algorithm were compared with Differential Evolution (DE), Non Dominated Sorting Genetic Algorithm (NSGA II) and Simulated Annealing (SA). It was found that the proposed hybrid algorithm was capable of providing the best solution. Fuzzy logic was used to find the best compromising solution and finally a pumping rate strategy for groundwater remediation was presented for the best compromising solution. The results show that the cost incurred for the best compromising solution is intermediate between the highest and lowest cost incurred for other non-dominated solutions.
    Zanieczyszczenie wód gruntowych wyciekami benzyny jest jedną z kilku przyczyn wpływających na środowisko wód podziemnych. W ostatnich latach bioremediacja in situ przyciągała uwagę badaczy z powodu jej zdolności do usuwania zanieczyszczeń w ich siedlisku i niskich kosztów procesu. Przedstawiona praca proponuje użycie nowego algorytmu hybrydowego do optymalizacji wielozadaniowej funkcji, która obejmuje koszty remediacji jako pierwsze zadanie i resztową zawartość zanieczyszczeń po zakończeniu procesu jako drugie z zadań. Algorytm hybrydowy powstał z połączenia metod różnicowej ewolucji, algorytmu genetycznego i symulowanego wyżarzania. Maszyna wektorów nośnych (SVM) została użyta jako wirtualny symulator biologicznej degradacji zanieczyszczeń w wodach gruntowych. Wyniki uzyskane z algorytmy hybrydowego porównano z wynikami zróżnicowanej ewolucji (DE), algorytmu genetycznego (NSGA II) i symulowanego wyżarzania (SA). Stwierdzono, że proponowany algorytm był w stanie zapewnić najlepsze rozwiązanie. Użyto metody z zakresu logiki rozmytej dla znalezienia najlepszego rozwiązania kompromisowego i na końcu przedstawiono dla tego rozwiązania strategię szybkości pompowania celem remediacji wód gruntowych. Wyniki pokazały, że koszty ponoszone na rozwiązanie kompromisowe są pośrednie między najwyższymi i najniższymi kosztami innych rozwiązań.
    Źródło:
    Journal of Water and Land Development; 2015, 27; 29-40
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimizations of network layout and transport service frequencies in view of interests of transit line operators and utilizers
    Autorzy:
    Zhu, Xiaojing
    Feng, Xuesong
    Zhang, Lukai
    Hua, Weixin
    Powiązania:
    https://bibliotekanauki.pl/articles/223857.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    transit network layout design
    transportation service
    service optimization
    interests of transit line operators
    interests of utilizers
    simulated annealing algorithm
    genetic algorithm
    projekt układu sieci transportowej
    usługi transportowe
    optymalizacja usług
    interesy operatorów linii tranzytowych
    interes użytkowników
    algorytm genetyczny
    Opis:
    Layouts of bus networks in cities are always irrational currently, transport service frequencies also need to be optimized according to the real network layouts, operation conditions and travel experience of passengers, so it is essential to optimize bus transit network layouts and transport service frequencies systematically. Different stakeholders are involved in the optimization of urban bus transit network layouts like the government, operators and passengers, whose interests are always contradictory. In order to optimize transit network layout and service frequencies from the view point of operators and utilizers, this research constructs a multi-objective model and proposes a solution algorithm. The proposed multi-objective model is established from the perspective of operators with the goal of minimizing total operating costs for one day, and from the perspective of the utilizers to minimize the total travel time, respectively. Also with the application of electric bus in cities, buses in this research are electric buses all for green travel. Moreover, a solution algorithm is proposed in this research to solve the proposed multi-objective model with simulated annealing algorithm and genetic algorithm. Simulated annealing algorithm is used as the main framework of the solution algorithm from the perspective of operators to minimize operating costs, while genetic algorithm is used as the subroutine of simulated annealing algorithm to optimize total travel time. Verification of the proposed model and the solution algorithm is based on an intuitive network. The application results of a numerical experiment verified that the proposed optimization model and the solution algorithm are able to optimize the network layout and service frequencies at the same time.
    Źródło:
    Archives of Transport; 2019, 50, 2; 47-55
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An Analytical Study for the Role of Fuzzy Logic in Improving Metaheuristic Optimization Algorithms
    Autorzy:
    Vij, Sonakshi
    Jain, Amita
    Tayal, Devendra
    Castillo, Oscar
    Powiązania:
    https://bibliotekanauki.pl/articles/385121.pdf
    Data publikacji:
    2018
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    fuzzy logic
    metaheuristics
    evolutionary computing
    genetic algorithm
    particle swarm optimization (PSO)
    ant colony optimization
    fuzzy evolutionary algorithm
    fuzzy cuckoo
    fuzzy simulated annealing
    fuzzy swarm intelligence
    fuzzy differential evolution
    tabu
    fuzzy mutation
    fuzzy natural selection
    fuzzy fitness function
    big bang big crunch
    fuzzy bacterial
    neuro fuzzy logic
    logika rozmyta
    metaheurystyka
    obliczenia ewolucyjne
    algorytm genetyczny
    optymalizacja roju cząstek
    optymalizacja kolonii mrówek
    Opis:
    The research applications of fuzzy logic have always been multidisciplinary in nature due to its ability in handling vagueness and imprecision. This paper presents an analytical study in the role of fuzzy logic in the area of metaheuristics using Web of Science (WoS) as the data source. In this case, 178 research papers are extracted from it in the time span of 1989-2016. This paper analyzes various aspects of a research publication in a scientometric manner. The top cited research papers, country wise contribution, topmost organizations, top research areas, top source titles, control terms and WoS categories are analyzed. Also, the top 3 fuzzy evolutionary algorithms are extracted and their top research papers are mentioned along with their topmost research domain. Since neuro fuzzy logic poses feasible options for solving numerous research problems, hence a section is also included by the authors to present an analytical study regarding research in it. Overall, this study helps in evaluating the recent research patterns in the field of fuzzy metaheuristics along with envisioning the future trends for the same. While on one hand this helps in providing a new path to the researchers who are beginners in this field as they can start exploring it through the analysis mentioned here, on the other hand it provides an insight to professional researchers too who can dig a little deeper in this field using knowledge from this study.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 4; 11-27
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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