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Tytuł:
A novel variant of the salp swarm algorithm for engineering optimization
Autorzy:
Jia, Fuyun
Luo, Sheng
Yin, Guan
Ye, Yin
Powiązania:
https://bibliotekanauki.pl/articles/23944824.pdf
Data publikacji:
2023
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
salp swarm algorithm
meta-heuristic algorithm
chaos theory
sine-cosine mechanism
quantum computation
optimization design of engineering
Opis:
There are many design problems need to be optimized in various fields of engineering, and most of them belong to the NP-hard problem. The meta-heuristic algorithm is one kind of optimization method and provides an effective way to solve the NP-hard problem. Salp swarm algorithm (SSA) is a nature-inspired algorithm that mimics and mathematically models the behavior of slap swarm in nature. However, similar to most of the meta-heuristic algorithms, the traditional SSA has some shortcomings, such as entrapment in local optima. In this paper, the three main strategies are adopted to strengthen the basic SSA, including chaos theory, sine-cosine mechanism and the principle of quantum computation. Therefore, the SSA variant is proposed in this research, namely SCQ-SSA. The representative benchmark functions are employed to test the performances of the algorithms. The SCQ-SSA are compared with the seven algorithms in high-dimensional functions (1000 dimensions), seven SSA variants and six advanced variants on benchmark functions, the experiment reveals that the SCQ-SSA enhances resulting precision and alleviates local optimal problems. Besides, the SCQ-SSA is applied to resolve three classical engineering problems: tubular column design problem, tension/compression spring design problem and pressure vessel design problem. The design results indicate that these engineering problems are optimized with high accuracy and superiority by the improved SSA. The source code is available in the URL: https://github.com/ye-zero/SCQSSA/tree/main/SCQ-SSA.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2023, 13, 3; 131--149
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A relation of dominance for the bicriterion bus routing problem
Autorzy:
Widuch, J.
Powiązania:
https://bibliotekanauki.pl/articles/330092.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multicriteria optimization
set of nondominated solutions
bicriterion shortest path problem
variable weights
label correcting algorithm
transportation problem
optymalizacja wielokryterialna
zbiór rozwiązań niezdominowanych
dwukryterialny problem najkrótszej ścieżki
zmienne wagi
problem transportowy
Opis:
A bicriterion bus routing (BBR) problem is described and analysed. The objective is to find a route from the start stop to the final stop minimizing the time and the cost of travel simultaneously. Additionally, the time of starting travel at the start stop is given. The BBR problem can be resolved using methods of graph theory. It comes down to resolving a bicriterion shortest path (BSP) problem in a multigraph with variable weights. In the paper, differences between the problem with constant weights and that with variable weights are described and analysed, with particular emphasis on properties satisfied only for the problem with variable weights and the description of the influence of dominated partial solutions on non-dominated final solutions. This paper proposes methods of estimation a dominated partial solution for the possibility of obtaining a non-dominated final solution from it. An algorithm for solving the BBR problem implementing these estimation methods is proposed and the results of experimental tests are presented.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2017, 27, 1; 133-155
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Short Introduction to Stochastic Optimization
Autorzy:
Ombach, Jerzy
Powiązania:
https://bibliotekanauki.pl/articles/1373633.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:
global optimization
stochastic algorithm
random search
convergence of metaheuristics
Opis:
We present some typical algorithms used for finding global minimum/ maximum of a function defined on a compact finite dimensional set, discuss commonly observed procedures for assessing and comparing the algorithms’ performance and quote theoretical results on convergence of a broad class of stochastic algorithms.
Źródło:
Schedae Informaticae; 2014, 23; 9-20
0860-0295
2083-8476
Pojawia się w:
Schedae Informaticae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of a modified ant colony algorithm for order scheduling in food processing plants
Autorzy:
Korobiichuk, Igor
Hrybkov, Serhii
Seidykh, Olga
Ovcharuk, Volodymyr
Ovcharuk, Andrii
Powiązania:
https://bibliotekanauki.pl/articles/2204558.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
order fulfillment planning
modified ant colony algorithm
efficiency of the algorithms
optimization
food industry
Opis:
This developed modified ant colony algorithm includes an additional improvement with local optimization methods, which reduces the time required to find a solution to the problem of optimization of combinatorial order sequence planning in a food enterprise. The planning problem requires consideration of a number of partial criteria, constraints, and an evaluation function to determine the effectiveness of the established version of the order fulfillment plan. The partial criteria used are: terms of storage of raw materials and finished products, possibilities of occurrence and processing of substandard products, terms of manufacturing orders, peculiarities of fulfillment of each individual order, peculiarities of use of technological equipment, expenses for storage and transportation of manufactured products to the end consumer, etc. The solution of such a problem is impossible using traditional methods. The proposed algorithm allows users to build and reconfigure plans, while reducing the time to find the optimum by almost 20% compared to other versions of algorithms.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 1; 53--61
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dyskretna optymalizacja dla strukturalnej klasyfikacji informacji za pomocą nakładkowych drzew logicznych
Autorzy:
Partyka, Marian A.
Natorska, Maria
Powiązania:
https://bibliotekanauki.pl/articles/20727841.pdf
Data publikacji:
2021
Wydawca:
Wydawnictwo Druk-Art
Tematy:
optymalizacja dyskretna
strukturalna klasyfikacja informacji
parametr decyzyjny
konflikt modelowy
algorytm Quine'a- McCluskeya
discrete optimization
structural classification of information
decision parameter
model conflict
Quine-McCluskey algorithm
Opis:
Arytmetyczne i logiczne wartości decyzyjnych parametrów. Optymalne decyzyjne drzewa z minimalną liczbą prawdziwych gałązek. Algorytm Quine’a-Mc Cluskeya minimalizacji wielowartościowych funkcji logicznych. Modelowy konflikt w zbiorze kryterialnym i kompromis dla rozwiązania optymalnego.
Arithmetic and logical values of decision parameters. Optimal decision trees with a minimum number of true branches. The Quine-Mc Cluskey minimization algorithm of multiple – valued logic functions. The model conflict in a set of criteria and compromise for optimal solution.
Źródło:
Napędy i Sterowanie; 2021, 23, 11; 57-69
1507-7764
Pojawia się w:
Napędy i Sterowanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling of Curvature of the Railway Track Geometrical Layout Using Particle Swarm Optimization
Autorzy:
Palikowska, Katarzyna Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/504485.pdf
Data publikacji:
2014
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
Particle Swarm Optimization algorithm cubic C-Bezier curve
curvature of the railway track layout dynamic interactions
transition curve
Opis:
A method of railway track geometrical layout design, based on an application of cubic C-Bezier curves for describing the layout curvature is presented in the article. The control points of a cubic C-Bezier curve are obtained in an optimization process carried out using Particle Swarm Optimization algorithm. The optimization criteria are based on the evaluation of the dynamic interactions and satisfaction of geometrical design requirements.
Źródło:
Logistics and Transport; 2014, 21, 1; 73-82
1734-2015
Pojawia się w:
Logistics and Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm. Part I. Theoretical background on evolutionary multi objective optimization
Autorzy:
Sekulski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/259303.pdf
Data publikacji:
2011
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ship structure
multi-objective optimization
evolutionary algorithm
genetic algorithm
Pareto domination
set of non-dominated solutions
Opis:
Real ship structural design problems are usually characterized by presence of many conflicting objectives. Simultaneously, a complete definition of the optimal structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems from these four areas and giving an effective solution of this problem. So far, a significant progress towards the solution of this problem has not been obtained. An objective of the present paper was to develop an evolutionary algorithm for multi-objective optimization of the structural elements of the large spatial sections of ships. Selected elements of the multi-criteria optimization theory have been presented in details. Methods for solution of the multi-criteria optimization problems have been discussed with the focus on the evolutionary optimization algorithms. In the paper an evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area on a high speed vehicle-passenger catamaran structure with several design variables, such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinals and transversal members. Details of the computational models were at the level typical for conceptual design. Scantlings were analyzed using the selected rules of a classification society. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm can be an efficient multi-objective optimization tool for ship structures optimization. The paper will be published in three parts: Part I: Theoretical background on evolutionary multi-objective optimization, Part II: Computational investigations, and Part III: Analysis of the results.
Źródło:
Polish Maritime Research; 2011, 2; 3-18
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-objective optimization of high speed vehicle-passenger catamaran by genetic algorithm. Part II. Analysis of the results
Autorzy:
Sekulski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/260079.pdf
Data publikacji:
2011
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ship structure
multi-objective optimization
evolutionary algorithm
genetic algorithm
Pareto domination
set of non-dominated solutions
Opis:
Real ship structural design problems are usually characterized by presence of many conflicting objectives. Simultaneously, a complete definition of the optimum structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems from the four areas and giving an effective solution of the problem. Any significant progress towards solving the problem has not been obtained so far. An objective of the present paper was to develop an evolutionary algorithm for multiobjective optimization of the structural elements of large spatial sections of ships. Selected elements of the multi-criteria optimization theory have been presented in detail. Methods for solution of the multi-criteria optimization problems have been discussed with the focus on the evolutionary optimization algorithms. In the paper an evolutionary algorithm where selection takes place based on the aggregated objective function combined with domination attributes as well as distance to the asymptotic solution, is proposed and applied to solve the problem of optimizing structural elements with respect to their weight and surface area for a high - speed vehicle-passenger catamaran structure, with taking into account several design variables such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinal and transversal members. Details of the computational models were kept at the level typical for conceptual design stage. Scantlings were analyzed by using the selected classification society rules. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm may be considered an efficient tool for multi-objective optimization of ship structures. The paper has been published in the three parts: Part I: Theoretical background on evolutionary multiobjective optimization, Part II: Computational simulations, and Part III: Analysis of the results.
Źródło:
Polish Maritime Research; 2011, 4; 3-13
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-Objective Optimization of Motor Vessel Route
Autorzy:
Marie, S.
Courteille, E.
Powiązania:
https://bibliotekanauki.pl/articles/117604.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
route planning
Optimization of Vessel Route
multi-objective optimization
Motor Vessel
Optimal Route
Multi-Objective Genetic Algorithm (MOGA)
Bézier Curve
MATLAB
Opis:
This paper presents an original method that allows computation of the optimal route of a motor vessel by minimizing its fuel consumption. The proposed method is based on a new and efficient meshing procedure that is used to define a set of possible routes. A consumption prediction tool has been developed in order to estimate the fuel consumption along a given trajectory. The consumption model involves the effects of the meteorological conditions, the shape of the hull and the power train characteristics. Pareto-optimization with a Multi-Objective Genetic Algorithm (MOGA) is taken as a framework for the definition and the solution of the multi-objective optimization problem addressed. The final goal of this study is to provide a decision helping tool giving the route that minimizes the fuel consumption in a limited or optimum time.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 2; 133-141
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method
Autorzy:
Chang, Y.-C.
Chiu, M.-C.
Xie, J.-L.
Powiązania:
https://bibliotekanauki.pl/articles/178126.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
finite element method
polynomial neural network model
genetic algorithm
group method of data handling
reciprocating compressor
optimization
Opis:
Industry often utilizes acoustical hoods to block noise emitted from reciprocating compressors. However, the hoods are large and bulky. Therefore, to diminish the size of the compressor, a compact discharge muffler linked to the compressor outlet is considered. Because the geometry of a reciprocating compressor is irregular, COMSOL, a finite element analysis software, is adopted. In order to explore the acoustical performance, a mathematical model is established using a finite element method via the COMSOL commercialized package. Additionally, to facilitate the shape optimization of the muffler, a polynomial neural network model is adopted to serve as an objective function; also, a Genetic Algorithm (GA) is linked to the OBJ function. During the optimization, various noise abatement strategies such as a reverse expansion chamber at the outlet of the discharge muffler and an inner extended tube inside the discharge muffler, will be assessed by using the artificial neural network in conjunction with the GA optimizer. Consequently, the discharge muffler that is optimally shaped will decrease the noise of the reciprocating compressor.
Źródło:
Archives of Acoustics; 2017, 42, 2; 189-197
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numeryczna optymalizacja profili śmigłowcowych oparta na algorytmie genetycznym z uwzględnieniem kryteriów bazujących na niestacjonarnych charakterystykach aerodynamicznych
Numerical optimization rotorcraft blade airfoils based on genetic algorithm and unstedy aerodynamic criteria
Autorzy:
Stalewski, W.
Powiązania:
https://bibliotekanauki.pl/articles/212749.pdf
Data publikacji:
2006
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Lotnictwa
Tematy:
numeryczna optymalizacja profili śmigłowców
algorytm genetyczny
niestacjonarne charakterystyki aerodynamiczne
numerical optimization of rotorcraft blade
genetic algorithm
areodynamic criteria
Opis:
W pracy przedstawiono metodę numerycznej optymalizacji profili lotniczych, ze szczególnym uwzględnieniem profili łopat wirnika nośnego śmigłowca. Metoda bazuje na algorytmie genetycznym. Optymalizacja realizowana jest poprzez symulację procesów ewolucji gatunków regulowanych prawami doboru naturalnego. Wielokryterialny algorytm genetyczny adaptowano na przypadek optymalizacji profili lotniczych. Opracowano wyspecjalizowany generator kształtu profili a także metodę analizy niestacjonarnego, transonicznego opływu profilu z uwzględnieniem silnego oddziaływania niestacjonarnej warstwy przyściennej. W oparciu o opracowane moduły obliczeniowe powstał pakiet oprogramowania OGA pozwalający rozwiązywać szeroką klasę zagadnień z zakresu wielokryterialnej optymalizacji profili śmigłowcowych. Przedstawiono wyniki obliczeń testowych wykonanych za pomocą opracowanego pakietu.
The optimization methodology of rotorcraft airfoils was presented. The methodology is based on the multi-objectiye genetic algorithm, where the process of optimization imitates the real processes of natural selection and heredity observed in lively nature. Basing on the worked out methodology the optimization software package was developed. This package enables a computational design of airfoils, which have the best aerodynamic properties with regard to given criteria. The multi-objective optimization with additional aerodynamic and geometrie constraints was applied. The specialized airfoil shape parameterization was worked out to get the wide class of airfoil geometry. The optimization criteria are directed to reąuirements and flow conditions specific to rotorcraft airfoils. In particular, the criteria are evaluated basing on unsteady aerodynamic characteristics that correspond to unsteady flow around rotor blades of rotorcraft in flight. The method of calculation of the unsteady, transonic flow with unsteady boundary layer analysis was developed. The method is used to evaluate both unsteady and steady aerodynamic objectives and constraints. Additionally, the several external codes were included inthe package, to get the wide possibilities of steady aerodynamic criteria formulation. The thorough verification of presented optimization software package was performed. The results confirmed the proper work of the package as well as its wide possibilities of use as the tool supporting the aerodynamic design.
Źródło:
Prace Instytutu Lotnictwa; 2006, 1-2 (184-185); 54-64
0509-6669
2300-5408
Pojawia się w:
Prace Instytutu Lotnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal tuning procedure for FOPID controller of integrated industrial processes with deadtime
Autorzy:
Anuja, R.
Sivarani, T.S.
Germin Nisha, M.
Powiązania:
https://bibliotekanauki.pl/articles/2173529.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
industrial process integrated with dead time
tuning of FOPID
whale optimization algorithm
proces przemysłowy zintegrowany z czasem martwym
strojenie FOPID
algorytm optymalizacji wielorybów
Opis:
Industrial processes such as batch distillation columns, supply chain, level control etc. integrate dead times in the wake of the transportation times associated with energy, mass and information. The dead time, the cause for the rise in loop variability, also results from the process time and accumulation of time lags. These delays make the system control poor in its asymptotic stability, i.e. its lack of self-regulating savvy. The haste of the controller’s reaction to disturbances and congruence with the design specifications are largely influenced by the dead time; hence it exhorts a heed. This article is aimed at answering the following question: “How can a fractional order proportional integral derivative controller (FOPIDC) be tuned to become a perfect dead time compensator apposite to the dead time integrated industrial process?” The traditional feedback controllers and their tuning methods do not offer adequate resiliency for the controller to combat out the dead time. The whale optimization algorithm (WOA), which is a nascent (2016 developed) swarm-based meta-heuristic algorithm impersonating the hunting maneuver of a humpback whale, is employed in this paper for tuning the FOPIDC. A comprehensive study is performed and the design is corroborated in the MATLAB/Simulink platform using the FOMCON toolbox. The triumph of the WOA tuning is demonstrated through the critical result comparison of WOA tuning with Bat and particle swarm optimization (PSO) algorithm-based tuning methods. Bode plot based stability analysis and the time domain specification based transient analysis are the main study methodologies used.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 1; e139954, 1--8
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of the process of restoring the continuity of the WDS based on the matrix and genetic algorithm approach
Autorzy:
Antonowicz, Ariel
Urbaniak, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2173692.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
WNTR
Water Network Tool for Resilience
aggregation of failures
water distribution system
EPANET Solver
Graph Searching Algorithms
genetic algorithm
optimization
post-disaster events
agregacja awarii
system dystrybucji wody
EPANET
algorytm wyszukiwania grafów
algorytm genetyczny
optymalizacja
wydarzenia po katastrofie
Opis:
The article discusses an example of the use of graph search algorithms with trace of water analysis and aggregation of failures in the occurrence of a large number of failures in the Water Supply System (WSS). In the event of a catastrophic situation, based on the Water Distribution System (WDS) network model, information about detected failures, the condition and location of valves, the number of repair teams, criticality analysis, the coefficient of prioritization of individual network elements, and selected objective function, the algorithm proposes the order of repairing the failures should be analyzed. The approach proposed by the authors of the article assumes the selection of the following objective function: minimizing the time of lack of access to drinking water (with or without prioritization) and minimizing failure repair time (with or without failure aggregation). The algorithm was tested on three different water networks (small, medium, and large numbers of nodes) and three different scenarios (different numbers of failures and valves in the water network) for each selected water network. The results were compared to a valve designation approach for closure using an adjacency matrix and a Strategic Valve Management Model (SVMM).
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 4; art. no. e141594
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
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:
Optimizing the harmony search algorithm for combined heat and power economic dispatch in american english
Autorzy:
Benayed, F.Z.
Abdelhakem-Koridak, L.
Bouadi, A.
Rahli, M.
Powiązania:
https://bibliotekanauki.pl/articles/41184379.pdf
Data publikacji:
2023
Wydawca:
Politechnika Warszawska, Instytut Techniki Cieplnej
Tematy:
combined heat and power system
harmony search algorithm
optimization of power systems
połączony system ciepłowniczy i elektroenergetyczny
algorytm poszukiwania harmonii
optymalizacja systemów energetycznych
Opis:
Achieving optimal utilization of multiple combined heat and power (CHP) systems is a complex problem that requires powerful methods for resolution. This paper presents a harmony search (HS) algorithm to address the economic dispatch issue in CHP (CHPED ). The recently developed metaheuristic HS algorithm has been successfully employed in a wide range of optimization problems. The method is demonstrated through a test case from existing literature and a new one proposed by the authors. Numerical results indicate that the proposed algorithm can identify superior solutions compared to traditional methods, and that the Harmony Search algorithm can be effectively applied to CHPED-related problems.
Źródło:
Journal of Power Technologies; 2023, 103, 1; 14-20
1425-1353
Pojawia się w:
Journal of Power Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
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