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Tytuł:
On Some Aspects of Genetic and Evolutionary Methods for Optimization Purposes
Autorzy:
Woźniak, M.
Połap, D.
Powiązania:
https://bibliotekanauki.pl/articles/227353.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
computational intelligence
genetic algorithm
heuristic algorithm
optimization
Opis:
In this paper, the idea of applying some hybrid genetic algorithms with gradient local search and evolutionary optimization techniques is formulated. For two different test functions the proposed versions of the algorithms have been examined. Research results are presented and discussed to show potential efficiency in optimization purposes.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 1; 7-16
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Voice recognition through the use of Gabor transform and heuristic algorithm
Autorzy:
Woźniak, M.
Połap, D.
Powiązania:
https://bibliotekanauki.pl/articles/226687.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
neural networks
voice recognition
Gabor transform
heuristic algorithm
swarm
Opis:
Increasingly popular use of verification methods based on specific characteristics of people like eyeball, fingerprint or voice makes inventing more accurate and irrefutable methods of that urgent. In this work we present voice verification based on Gabor transformation. Proposed approach involves creation of spectrogram, which serves as a habitat for the population in selected heuristic algorithm. The use of heuristic allows for feature extraction to enable identity verification using classical neural network. The results of the research are presented and discussed to show efficiency of the proposed methodology.
Źródło:
International Journal of Electronics and Telecommunications; 2017, 63, 2; 159-164
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modified blind naked mole-rat algorithm applied to electromagnetic design problems
Autorzy:
Taherdangkoo, Mohammad
Powiązania:
https://bibliotekanauki.pl/articles/1841273.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electromagnetic design problems
global optimization
meta-heuristic algorithm
problemy z projektowaniem elektromagnetycznym
globalna optymalizacja
algorytm metaheurystyczny
Opis:
In this paper,we proposed a modified meta-heuristic algorithm based on the blind naked mole-rat (BNMR) algorithm to solve the multiple standard benchmark problems. We then apply the proposed algorithm to solve an engineering inverse problem in the electromagnetic field to validate the results. The main objective is to modify the BNMR algorithm by employing two different types of distribution processes to improve the search strategy. Furthermore, we proposed an improvement scheme for the objective function and we have changed some parameters in the implementation of the BNMR algorithm. The performance of the BNMR algorithm was improved by introducing several new parameters to find the better target resources in the implementation of a modified BNMR algorithm. The results demonstrate that the changed candidate solutions fall into the neighborhood of the real solution. The results show the superiority of the propose method over other methods in solving various mathematical and electromagnetic problems.
Źródło:
Archives of Electrical Engineering; 2021, 70, 2; 167-380
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Meta-heuristic approach based on genetic and greedy algorithms to solve flexible job-shop scheduling problem
Autorzy:
Rezaeipanah, Amin
Sarhangnia, Fariba
Abdollahi, Mohammad Javad
Powiązania:
https://bibliotekanauki.pl/articles/2097966.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
job-shop scheduling
meta-heuristic method
genetic algorithm
greedy algorithm
jobs priority
Opis:
Job-shop scheduling systems are one of the applications of group technology in industry, the purpose of which is to take advantage of the physical or operational similarities of products in their various aspects of construction and design. Additionally, these systems are identified as cellular manufacturing systems (CMS). In this paper, a meta-heuristic method that is based on combining genetic and greedy algorithms has been used in order to optimize and evaluate the performance criteria of the flexible job-shop scheduling problem. In order to improve the efficiency of the genetic algorithm, the initial population is generated by the greedy algorithm, and several elitist operators are used to improve the solutions. The greedy algorithm that is used to improve the generation of the initial population prioritizes the cells and the job in each cell and, thus, offers quality solutions. The proposed algorithm is tested over the P-FJSP dataset and compared with the state-of-the-art techniques of this literature. To evaluate the performance of the diversity, spacing, quality, and run-time criteria were used in a multi-objective function. The results of the simulation indicate the better performance of the proposed method as compared to the NRGA and NSGA-II methods.
Źródło:
Computer Science; 2021, 22 (4); 463--488
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Probabilistic model-building algorithms as tool to find optimum of a function
Algorytmy z modelem probabilistycznym jako narzędzie optymalizacji funkcji
Autorzy:
Reichel, A.
Nowak, I.
Powiązania:
https://bibliotekanauki.pl/articles/87296.pdf
Data publikacji:
2015
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
algorytm PBIL
algorytm cGA
metody heurystyczne
optymalizacja
population-based incremental learning
compact genetic algorithm
heuristic methods
optimization
Opis:
The aim of this paper is to present the probabilistic modelbuilding heuristics which is a modification of an evolutionary algorithm. the Probabilistic-Based Incremental Learning (PBIL) and the compact Genetic Algorithm (cGA) is presented as a example of the probabilistic model building algorithms dedicated to the binary problems. Both heuristics are tested on three functions that allow to investigate the advantages, disadvantages and limitations of methods under consideration.
Celem niniejszego artykułu jest przedstawienie heurystyk wieloagentowych wykorzystujących model probabilistyczny. W artykule omówiono dwie metody: the Probabilistic-Based Incremental Learning (PBIL) oraz the compact Genetic Algorithm (cGA), będące przykładami heurystyk z modelem probabilistycznym. Obie metody są przeznaczone do rozwiązywania problemów binarnych. W ramach pracy metody te testowano na trzech funkcjach zdefiniowanych w przestrzeni ciągów binarnych. Testy miały zbadać zalety, wady oraz ograniczenia obu prezentowanych heurystyk populacyjnych.
Źródło:
Zeszyty Naukowe. Matematyka Stosowana / Politechnika Śląska; 2015, 5; 79-97
2084-073X
Pojawia się w:
Zeszyty Naukowe. Matematyka Stosowana / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A method of loading unit formation taking into account mass, load-bearing strength and surfaces of packing units
Autorzy:
Popiela, K.
Wasiak, M.
Powiązania:
https://bibliotekanauki.pl/articles/198370.pdf
Data publikacji:
2017
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
loading unit
heuristic algorithm
load-bearing strength
packing unit
jednostka ładunkowa
algorytm heurystyczny
wytrzymałość na obciążenie
jednostka pakująca
Opis:
The problem of loading unit formation is computationally complex in nature. This article presents a heuristic algorithm of forming unit loads, which can be applied to unit load arrangement on unit load devices. This method accounts for dimensional, mass and load-bearing strength of loading units and loading devices. Moreover, the rotation of packages about a 90° vertical axis has been made possible. In this algorithm, the bearing surface of each packing unit is entirely supported. This guarantees the stability of additional unit load layers. A sample calculation of the arrangement of 30-unit loads is presented in this article.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2017, 96; 151-160
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is Swarm Intelligence Able to Create Mazes?
Autorzy:
Połap, D.
Woźniak, M.
Napoli, C.
Tramontana, E.
Powiązania:
https://bibliotekanauki.pl/articles/226726.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
computational intelligence
heuristic algorithm
Opis:
In this paper, the idea of applying Computational Intelligence in the process of creation board games, in particular mazes, is presented. For two different algorithms the proposed idea has been examined. The results of the experiments are shown and discussed to present advantages and disadvantages.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 4; 305-310
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Real-Time Cloud-based Game Management System via Cuckoo Search Algorithm
Autorzy:
Połap, D.
Woźniak, M.
Napoli, C.
Tramontana, E.
Powiązania:
https://bibliotekanauki.pl/articles/226816.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
computational intelligence
heuristic algorithm
Opis:
This paper analyses the idea of applying Swarm Intelligence in the process of managing the entire 2D board game in a real-time environment. For the proposed solution Game Management System is used as a cloud resource with a dedicated intelligent control agent. The described approach has been analysed on the basis of board games like mazes. The model and the control algorithm of the system is described and examined. The results of the experiments are presented and discussed to show possible advantages and isadvantages of the proposed method.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 4; 333-338
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bainite transformation time model optimization for Austempered Ductile Iron with the use of heuristic algorithms
Autorzy:
Olejarczyk-Wożeńska, Izabela
Opaliński, Andrzej
Mrzygłód, Barbara
Regulski, Krzysztof
Kurowski, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/29520068.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
heuristic optimization
bainite
ADI
Particle Swarm Optimization
Evolutionary Optimization Algorithm
Opis:
The paper presents the application of heuristic optimization methods in identifying the parameters of a model for bainite transformation time in ADI (Austempered Ductile Iron). Two algorithms were selected for parameter optimization – Particle Swarm Optimization and Evolutionary Optimization Algorithm. The assumption of the optimization process was to obtain the smallest normalized mean square error (objective function) between the time calculated on the basis of the identified parameters and the time derived from the experiment. As part of the research, an analysis was also made in terms of the effectiveness of selected methods, and the best optimization strategies for the problem to be solved were selected on their basis.
Źródło:
Computer Methods in Materials Science; 2022, 22, 3; 125-136
2720-4081
2720-3948
Pojawia się w:
Computer Methods in Materials Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Johnson’s algorithm in processing jobs through two-machine system
Autorzy:
Okwu, Modestus
Emovon, Ikuobase
Powiązania:
https://bibliotekanauki.pl/articles/95167.pdf
Data publikacji:
2020
Wydawca:
Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:
Johnson algorithm
heuristic technique
sequencing
scheduling
algorytm Johnsona
heurystyka
sekwencjonowanie
planowanie
Opis:
The purpose of this research is to effectively schedule jobs in a production company using heuristic Johnson’s algorithm. A popular pure water production factory, Iterlene industrial services limited (IISL) located at Effurun, Nigeria was investigated and it was noticed that different sizes of jobs (bottled water) are produced ranging from 25 cl, 50 cl, 60 cl, 75 cl, and 150 cl respectively, which are processed through the filling machine (FM1) and capping machine (CM2). In the order FM1CM2. Each job has to pass through the same sequence of operations. Jobs are assigned in such a way that a job is assigned on FM1 first and once processing is completed on FM1, it is assigned to CM2 and passing is not allowed. The idle time for the production of 500 bottles of water was estimated to be 1020 seconds (17.00 mins.). Johnson’s algorithm was applied to minimize the idle time for both FM1 and CM2 by determining the optimal sequence of the processed jobs. This was achieved within 780 seconds (13.00 mins.). Conclusively, the minimization of total elapsed time between the completion of first and last job was achieved. This would greatly improve productivity, effectiveness, and profitability at iterlene factory.
Źródło:
Journal of Mechanical and Energy Engineering; 2020, 4, 1; 33-38
2544-0780
2544-1671
Pojawia się w:
Journal of Mechanical and Energy Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization on permutations: related structures, problems interrelation, heuristic compositions, applications
Autorzy:
Miatselski, M.
Powiązania:
https://bibliotekanauki.pl/articles/298118.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
heuristic algorithm
heuristics composition
optimization on permutations
assignment problem
quadratic assignment problem
Opis:
A heuristics based approach to practical solving theoretically intractable combinatory and network problems is discussed. Compound heuristics (heuristics compositions) are suggested to be more efficient procedures for real size problem instances. Some aspects of the heuristics compositions topic are illustrated by optimum permutation problems. We describe a uniform presentation of the chief types of the problems and their interrelations, including the relation “to be a special case of a problem”. We consider a number of algebraic structures and combinatory constructions on permutation sets and present an inclusion chain of these constructions. The chain enables us to establish and clarify many interrelations for the minimum permutation problems, with algorithmic and complexity aspects taken into account. We also concern the applications of some problems as well.
Źródło:
Technical Sciences / University of Warmia and Mazury in Olsztyn; 2018, 21(1); 37-47
1505-4675
2083-4527
Pojawia się w:
Technical Sciences / University of Warmia and Mazury in Olsztyn
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Specify of bottlenecks in conditions of unit and small-batch production
Autorzy:
Matuszek, J.
Mleczko, J.
Powiązania:
https://bibliotekanauki.pl/articles/384661.pdf
Data publikacji:
2009
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
Theory of Constraints
job shop scheduling
moving bottlenecks
heuristic algorithm
Opis:
The manufacturing industry has evolved over the past several decades in response to changing customer needs. Customers have become more demanding and want products that can meet their specific individual requirements. The standard products previously produced in large batches are not sufficient to meet this variety demanded. Given the increased competition, both locally and globally, companies must also now respond faster to get and keep customers. Enterprises were forced to unit and small-batch production. Currently, advanced planning systems are coming into use, however their cost exceeds the possibilities of small and medium enterprises and algorithms used often require great customization to industries' needs and conditions of unit and small-batch production. The paper has been drawn on the basis of research on overloads of moving bottlenecks in conditions of unit and small batch production in real conditions having a big number of resources and tasks. The methods used so far are not capable of finding the global optimum of such big data ranges. The author took on building a heuristic algorithm, which could find solution good enough and based on TOC (Theory of Constraints) assumptions and verification of assumptions using tests in real production systems. The above method found application to the industrial scale, as extension of the ERP class system.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 3; 102-109
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exact and heuristic approaches to solve the Internet shopping optimization problem with delivery costs
Autorzy:
Lopez-Loces, M. C.
Musial, J.
Pecero, J. E.
Fraire-Huacuja, H. J.
Blazewicz, J.
Bouvry, P.
Powiązania:
https://bibliotekanauki.pl/articles/330508.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
internet shopping optimization
integer linear programming
cellular processing algorithm
heuristic algorithms
optimization in e-commerce
zakupy internetowe
programowanie liniowe
algorytm heurystyczny
handel elektroniczny
Opis:
Internet shopping has been one of the most common online activities, carried out by millions of users every day. As the number of available offers grows, the difficulty in getting the best one among all the shops increases as well. In this paper we propose an integer linear programming (ILP) model and two heuristic solutions, the MinMin algorithm and the cellular processing algorithm, to tackle the Internet shopping optimization problem with delivery costs. The obtained results improve those achieved by the state-of-the-art heuristics, and for small real case scenarios ILP delivers exact solutions in a reasonable amount of time.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 2; 391-406
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Constrained optimization of line-start PM motor based on the gray wolf optimizer
Autorzy:
Knypińskia, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/1841785.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
heuristic algorithms
gray wolf algorithm
constrained optimization
external penalty function
line-start PM synchronous motor
Opis:
This paper presents the algorithm and computer software for constrained optimization based on the gray wolf algorithm. The gray wolf algorithm was combined with the external penalty function approach. The optimization procedure was developed using Borland Delphi 7.0. The developed procedure was then applied to design of a line-start PM synchronous motor. The motor was described by three design variables which determine the rotor structure. The multiplicative compromise function consisted of three maintenance parameters of designed motor and one non-linear constraint function was proposed. Next, the result obtained for the developed procedure (together with the gray wolf algorithm) was compared with results obtained using: (a) the particle swarm optimization algorithm, (b) the bat algorithm and (c) the genetic algorithm. The developed optimization algorithm is characterized by good convergence, robustness and reliability. Selected results of the computer simulation are presented and discussed.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 1; 1-10
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel hybrid cuckoo search algorithm for optimization of a line-start PM synchronous motor
Autorzy:
Knypiński, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/2204509.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
hybrid cuckoo search algorithm
heuristic algorithms
multi-objective optimization
permanent magnet synchronous motor
PMSM
algorytm kukułki hybrydowy
algorytm Cuckoo
algorytm heurystyczny
optymalizacja wielocelowa
silnik synchroniczny z magnesem trwałym
Opis:
The paper presents a novel hybrid cuckoo search (CS) algorithm for the optimization of the line-start permanent magnet synchronous motor (LSPMSM). The hybrid optimization algorithm developed is a merger of the heuristic algorithm with the deterministic Hooke–Jeeves method. The hybrid optimization procedure developed was tested on analytical benchmark functions and the results were compared with the classical cuckoo search algorithm, genetic algorithm, particle swarm algorithm and bat algorithm. The optimization script containing a hybrid algorithm was developed in Delphi Tiburón. The results presented show that the modified method is characterized by better accuracy. The optimization procedure developed is related to a mathematical model of the LSPMSM. The multi-objective compromise function was applied as an optimality criterion. Selected results were presented and discussed.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 1; art. no. e144586
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 24

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