Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "fitness function" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-10 z 10
    Tytuł:
    Evolutionary computation approaches to tip position controller design for a two-link flexible manipulator
    Autorzy:
    Subudhi, B.
    Ranasingh, S.
    Swain, A. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/229971.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    flexible manipulator
    genetic algorithm
    bacteria foraging
    fitness function
    Opis:
    Controlling multi-link flexible robots is very difficult compared rigid ones due to inter-link coupling, nonlinear dynamics, distributed link flexure and under-actuation. Hence, while designing controllers for such systems the controllers should be equipped with optimal gain parameters. Evolutionary Computing (EC) approaches such as Genetic Algorithm (GA), Bacteria Foraging Optimization (BFO) are popular in achieving global parameter optimizations. In this paper we exploit these EC techniques in achieving optimal PD controller for controlling the tip position of a two-link flexible robot. Performance analysis of the EC tuned PD controllers applied to a two-link flexible robot system has been discussed with number of simulation results.
    Źródło:
    Archives of Control Sciences; 2011, 21, 3; 269-285
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A parallel genetic algorithm for creating virtual portraits of historical figures
    Autorzy:
    Krawczyk, H.
    Proficz, J.
    Ziółkowski, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/1933983.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Gdańska
    Tematy:
    genetic algorithms
    fitness function
    KASKADA platform
    parallel processing
    high performance computing
    Opis:
    In this paper we present a genetic algorithm (GA) for creating hypothetical virtual portraits of historical figures and other individuals whose facial appearance is unknown. Our algorithm uses existing portraits of random people from a specific historical period and social background to evolve a set of face images potentially resembling the person whose image is to be found. We then use portraits of the person’s relatives to judge which of the evolved images are most likely to resemble his/her actual appearance. Unlike typical GAs, our algorithm uses a new supervised form of fitness function which itself is affected by the evolution process. Additional description of requested facial features can be provided to further influence the final solution (i.e. the virtual portrait). We present an example of a virtual portrait created by our algorithm. Finally, the performance of a parallel implementation developed for the KASKADA platform is presented and evaluated.
    Źródło:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2012, 16, 1-2; 145-162
    1428-6394
    Pojawia się w:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Pragmatic Distribution Based Routing Cluster to Improve Energy Efficient Cluster lifetime for Wireless Sensor Networks
    Autorzy:
    SV, Harish
    NV, Archan
    Powiązania:
    https://bibliotekanauki.pl/articles/27311930.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    cluster
    routing protocol
    Energy hole
    fitness function
    throughput
    energy delay
    hopping fairness
    Opis:
    Energy consumed by the sensor nodes are more sporadic in a sensor networks. A skilled way to bring down energy consumption and extend maximum life-time of any sensor present can be of evenly and unevenly distributed random area networks. Cluster heads are more responsible for the links between the source and destination. Energy consumption are much compare to member nodes of the network. Re-clustering will take place if the connectivity in the distributed network failure occurs in between the cluster networks that will affects redundancy in the network efficiency. Hence, we propose pragmatic distribution based routing cluster lifetime using fitness function (PDBRC) prototype is better than the existing protocol using MATLAB 2021a simulation tool.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 2; 353--360
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hybrid Mesh Adaptive Direct Search and Genetic Algorithms Techniques for industrial production systems
    Autorzy:
    Vasant, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/229988.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    mesh adaptive direct search
    genetic algorithms
    fitness function
    degree of possibility
    level of satisfaction
    Opis:
    In this paper, computational and simulation results are presented for the performance of the fitness function, decision variables and CPU time of the proposed hybridization method of Mesh Adaptive Direct Search (MADS) and Genetic Algorithm (GA). MADS is a class of direct search of algorithms for nonlinear optimization. The MADS algorithm is a modification of the Pattern Search (PS) algorithm. The algorithms differ in how the set of points forming the mesh is computed. The PS algorithm uses fixed direction vectors, whereas the MADS algorithm uses random selection of vectors to define the mesh. A key advantage of MADS over PS is that local exploration of the space of variables is not restricted to a finite number of directions (poll directions). This is the primary drawback of PS algorithms, and therefore the main motivation in using MADS to solve the industrial production planning problem is to overcome this restriction. A thorough investigation on hybrid MADS and GA is performed for the quality of the best fitness function, decision variables and computational CPU time.
    Źródło:
    Archives of Control Sciences; 2011, 21, 3; 299-312
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    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:
    An Accurate and Robust Genetic Algorithm to Minimize the Total Tardiness in Parallel Machine Scheduling Problems
    Autorzy:
    Ramadan, Saleem Zeyad
    Almasarwah, Najat
    Abdelall, Esraa S.
    Suer, Gursel A.
    Albashabsheh, Nibal T.
    Powiązania:
    https://bibliotekanauki.pl/articles/27324201.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    identical parallel machines
    accurate generic algorithm
    robust generic algorithm
    immigration
    surrogate fitness function
    vegetative reproduction
    Opis:
    This paper uses a Genetic Algorithm (GA) to reduce total tardiness in an identical parallel machine scheduling problem. The proposed GA is a crossover-free (vegetative reproduction) GA but used for four types of mutations (Two Genes Exchange mutation, Number of Jobs mutation, Flip Ends mutation, and Flip Middle mutation) to make the required balance between the exploration and exploitation functions of the crossover and mutation operators. The results showed that use of these strategies positively affects the accuracy and robustness of the proposed GA in minimizing the total tardiness. The results of the proposed GA are compared to the mathematical model in terms of the time required to tackle the proposed problem. The findings illustrate the ability of the propounded GA to acquire the results in a short time compared to the mathematical model. On the other hand, increasing the number of machines degraded the performance of the proposed GA.
    Źródło:
    Management and Production Engineering Review; 2023, 14, 4; 28--40
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Short-term load prediction model combining FEW and IHS algorithm
    Autorzy:
    Yu, Mingxing
    Zhu, Jiazheng
    Yang, Li
    Powiązania:
    https://bibliotekanauki.pl/articles/141740.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    evaluation criteria
    exponential fuzzy time series
    fitness function
    improved harmony search algorithms
    load forecasting
    optimal interval length
    Opis:
    :Accurate prediction of power load plays a crucial role in the power industry and provides economic operation decisions for the power operation department. Due to the unpredictability and periodicity of power load, an improved method to deal with complex nonlinear relation was adopted, and a short-term load forecasting model combining FEW (fuzzy exponential weighting) and IHS (improved harmonic search) algorithms was proposed. Firstly, the domain space was defined, the harmony memory base was initialized, and the fuzzy logic relation was identified. Then the optimal interval length was calculated using the training sample data, and local and global optimum were updated by optimization criteria and judging criteria. Finally, the optimized parameters obtained by an IHS algorithm were applied to the FEW model and the load data of the Huludao region (2013) in Northeast China in May. The accuracy of the proposed model was verified using an evaluation criterion as the fitness function. The results of error analysis show that the model can effectively predict short-term power load data and has high stability and accuracy, which provides a reference for application of short-term prediction in other industrial fields.
    Źródło:
    Archives of Electrical Engineering; 2019, 68, 4; 907-923
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A genatic algorithm how to solve a puzzle and its using in cartography
    Algorytm genetyczny do składania powierzchni z fragmentów i jego zastosowania w kartografii
    Autorzy:
    Bartoněk, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/341415.pdf
    Data publikacji:
    2005
    Wydawca:
    Uniwersytet Przyrodniczy we Wrocławiu
    Tematy:
    algorytm genetyczny
    analiza skupień
    kształt
    fragmenty
    granice figur
    kod łańcuchowy
    optymalizacja
    funkcja dopasowania
    kartogramy
    genetic algorithms
    cluster analysis
    shape
    fragments
    shape boundary
    string code
    optimization
    fitness function
    cartograms
    Opis:
    Genetic algorithms represent an up-to-date method of process optimization, where other solutions have failed or haven't given any satisfactory results. One of these processes is puzzle solving, where fragments have to be placed into the defined shape in such a way so that no fragment should mutually overlay and the whole shape area will be filled with all of these fragments. A genetic algorithm solving this task including an exact formulation and a definition of the initial conditions based on cluster analysis has been described in this paper. The algorithm efficiency will be tested in diploma works in Institute of Geodesy, Faculty of Civil Engineering, University of Technology, Brno. The results will be used in the application for cartograms creation.
    Algorytmy genetyczne reprezentują nowoczesne metody optymalizacji procesów, dla których inne rozwiązania zawiodły lub nie dały satysfakcjonujących rezultatów. Jednym z takich procesów jest rozwiązywanie układanek - puzli, w których fragmenty muszą być wstawione w zdefiniowany kształt w ten sposób, aby żadne się nawzajem nie nakładały, a kształt zawierał wszystkie zadane fragmenty. Praca niniejsza zawiera opis algorytmu genetycznego rozwiązującego takie zadanie wraz ze ścisłą formułą rozwiązania oraz definicją warunków początkowych, bazującą na analizie skupień. Skuteczność algorytmu będzie testowana w pracy dyplomowej w Instytucie Geodezji na Wydziale Budownictwa, Politechniki w Brnie. Rezultaty zostaną wykorzystane przy tworzeniu kartogramów.
    Źródło:
    Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum; 2005, 4, 2; 15-23
    1644-0668
    Pojawia się w:
    Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Physique and Fitness of Swimmers from West Bengal
    Autorzy:
    Mandal (Majee), Anindita
    Sarkar, Nandita
    Powiązania:
    https://bibliotekanauki.pl/articles/1030606.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
    Tematy:
    body composition
    max. oxygen consumption
    motor fitness
    pulmonary function
    swimmers
    Opis:
    The purpose of the present study is to assess the physique and fitness status of young school and college age swimmers from West Bengal. This cross sectional study was carried out on 46 male and 9 female swimmers of 9-20 years of age. The study parameters include body height, body weight, BMI, different anthropometric parameters, skinfold thickness and aerobic power, strength, flexibility, blood pressure and pulmonary function. Besides, history of training was taken by questionnaire. In the present study male and female adolescent swimmers have significantly higher body fat than their non-swimmer counterparts. Besides, respiratory capacity, max. oxygen consumption and flexibility parameters are significantly higher in male and female swimmers than in control group boys and girls. Besides, highly significant correlation has been found between sitting height, arm span and hand span of swimmer with swimming speed, years of training(swimming) and percentage of body fat. Again, pulmonary function, strength and max. oxygen consumption parameters are significantly correlated with years of training and speed of training. Therefore, simple regression equations are constructed to predict strength, respiratory and cardio-vascular parameters of adolescent swimmers on the basis of years of swimming and speed of swimming. When different style of swimming is considered it has been observed that highest Vo2 max value has been found in free style and butterfly swimmers followed by breast stroke and then back stroke swimmers. Swimmers of the present study when compared to international standard, they are shorter and lower in body fat content values and some physiological parameters like Vo2 max, flexibility and hand grip strength than international standard values. From this study it can be concluded that as there is no available information regarding strength, cardiovascular and respiratory status of adolescent girls and boys swimmers of West Bengal, this study can be said to be a pilot study on the basis of which further elaborate investigation requires to be initiated. Thus these baseline information of physique and physiological parameters of adolescent swimmers will provide local database for coaches and sports physiologists to develop proper training schedule and for identification of talent in the early ages.
    Źródło:
    Central European Journal of Sport Sciences and Medicine; 2018, 24, 4; 77-90
    2300-9705
    2353-2807
    Pojawia się w:
    Central European Journal of Sport Sciences and Medicine
    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 1-10 z 10

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies