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Wyszukujesz frazę "Ant Colony algorithm" wg kryterium: Wszystkie pola


Tytuł:
ACO-Inspired Energy-Aware Routing Algorithm for Wireless Sensor Networks
Autorzy:
Yamamoto, Ryo
Nishibu, Seira
Yamazaki, Taku
Okamura, Yasushi
Tanaka, Yoshiaki
Powiązania:
https://bibliotekanauki.pl/articles/308447.pdf
Data publikacji:
2019
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
ant colony optimization
loadbalancing
routing algorithm
sensor networks
Opis:
Multi-hop networks, such as WSNs, become an object of increasing attention as an emerging technology which plays an important role for practical IoT applications. These multi-hop networks generally consist of mobile and small terminals with limited resources, which makes them vulnerable to various network status changes. Moreover, the limited nature of terminal resources available, especially in terms of battery capacity, is one of the most important issues to be addressed in order to prolong their operating time. In order to ensure efficient communications in such networks, much research has already been conducted, especially in the field of routing and transmission technologies. However, conventional approaches adopted in the routing field still suffer from the so-called energy hole problem, usually caused by unbalanced communication loads existing due to difficulties in adaptive route management. To address this issue, the present paper proposes a novel routing algorithm that utilizes ACO-inspired routing based on residual energy of terminals. Operational evaluation reveals its potential to ensure balanced energy consumption and to boost network performance.
Źródło:
Journal of Telecommunications and Information Technology; 2019, 1; 5-13
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Emergency Evacuation Route Choice Based on Improved Ant Colony Algorithm
Autorzy:
Wang, Bo
Zhou, Ling Bo Jibiao
Hu, Danjuan
Pawęska, Marcin
Šimák, Ladislav
Ristvej, Jozef
Jánošíková, Michaela
Powiązania:
https://bibliotekanauki.pl/articles/503788.pdf
Data publikacji:
2019
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
route choice
ant colony algorithm
brittleness
emergency evacuation
Opis:
In order to explore the optimal route choice for emergency evacuation in the campus, we propose a novel route choice method based on brittle characteristics of campus system and improved ant colony algorithm. Both optimal and worst-case emergency evacuation routes are simulated in the campus of Ningbo University of Technology. From the simulation, the length of optimal and worse-case evacuation routes between the starting point and eight exits can be obtained by adjusting the importance value of trip distance and the degree of conformity, under the condition of static relative importance of pheromone concentration to graph G. The optimal route of emergency evacuation in the campus can be obtained when the importance of trip distance is above 5 and the degree of conformity is above 0.3; while the worse-case route is obtained with the importance of trip distance above 5 and the degree of conformity below 0.5.
Źródło:
Logistics and Transport; 2019, 44, 4; 33-39
1734-2015
Pojawia się w:
Logistics and 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
Tytuł:
An Ant Colony Algorithm for efficient ship routing
Autorzy:
Tsou, M.-C.
Cheng, H.-C.
Powiązania:
https://bibliotekanauki.pl/articles/258892.pdf
Data publikacji:
2013
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ship routing
Ant Colony Algorithm
GIS
weather routing
Opis:
With the substantial rising of international oil price and global warming on the rise, how to reduce operational fuel consumption and decrease air pollution has become one of the pursued goals of green ship. Ship route planning is an indispensible part of the ship navigation process, especially in transoceanic crossing ship routing. The soundness of ship routing not only affects the safety of ship navigation but also the operation economy and environmental protection. This research is based on the platform of Electronic Chart Display and Information System (ECDIS), and founded on Ant Colony Algorithm (ACA) combined with the concept of Genetic Algorithm (GA), to model living organisms optimization behaviour to perform efficient ship route planning in transoceanic crossing. Besides the realization of route planning automation, ship routing will achieve the goal of optimum carbon dioxide reduction and energy conservation, and provide reference for route planning decision.
Źródło:
Polish Maritime Research; 2013, 3; 28-38
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization
Autorzy:
Suresh, Vishnu
Janik, Przemyslaw
Jasinski, Michal
Powiązania:
https://bibliotekanauki.pl/articles/141692.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
ant colony optimization
IEEE 30 bus
IEEE 57 bus
metaheuristic algorithm
mixed integer distributed ant colony optimization
optimal power flow
Opis:
This paper presents the application of an improved ant colony optimization algorithm called mixed integer distributed ant colony optimization to optimize the power flow solution in power grids. The results provided indicate an improvement in the reduction of operational costs in comparison with other optimization algorithms used in optimal power flow studies. The application was realized to optimize power flow in the IEEE 30 and the IEEE 57 bus test cases with the objective of operational cost minimization. The optimal power flow problem described is a non-linear, non-convex, complex and heavily constrained problem.
Źródło:
Archives of Electrical Engineering; 2020, 69, 2; 335-348
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on optimization model of marine industry strategic adjustment under complex maritime conditions based on ant colony algorithm
Autorzy:
Shen, X.
Powiązania:
https://bibliotekanauki.pl/articles/260022.pdf
Data publikacji:
2018
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ant colony algorithm
complex maritime
marine industry strategy
Opis:
This article seeks to analyze the factors constraining the development of strategic marine emerging industries and the deficiencies in China’s strategic marine emerging industry development policies. Learn from the successful experiences of overseas strategic marine emerging industry development policies. We will study and construct a policy framework for the development of strategic marine emerging industries in the new era, guided by the scientific concept of development and enhanced by the capacity of independent innovation. Provide policy recommendations for actively promoting the development of strategic marine emerging industries. At the same time, it provides theoretical and methodological reference for the formulation and implementation of China’s strategic marine emerging industry policies. On the basis of reviewing relevant theories of industrial policy, this article first defines China’s strategic emerging industries and clarifies the connotation of China’s strategic marine emerging industry development policies. Then, the paper conducts detailed analysis on the development policies of strategic marine emerging industries at home and abroad, and summarizes the experience of overseas strategic development policies for marine emerging industries. Finally, combining the above-mentioned comprehensive analysis, with the guidance of the scientific concept of development, the development strategy and concrete development policy of China’s strategic emerging industries in the ocean are proposed.
Źródło:
Polish Maritime Research; 2018, S 2; 164-169
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy-based firefly and ACO algorithm for densely deployed WSN
Autorzy:
Sharma, Tripti
Mohapatra, Amar Kumar
Tomar, Geetam
Powiązania:
https://bibliotekanauki.pl/articles/38700721.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
clustering
firefly
WSN
ant colony optimization
fuzzy
wireless sensor
healthcare network
FIS
grupowanie
robaczek świętojański
optymalizacja kolonii mrówek
rozmyty
czujnik bezprzewodowy
sieć opieki zdrowotnej
Opis:
Most of the wireless sensor networks (WSNs) used in healthcare and security sectors are affected by the battery constraints, which cause a low network lifetime problem and prevents these networks from achieving their maximum performance. It is anticipated that by combining fuzzy logic (FL) approximation reasoning approach with WSN, the complex behavior of WSN will be easier to handle. In healthcare, WSNs are used to track activities of daily living (ADL) and collect data for longitudinal studies. It is easy to understand how such WSNs could be used to violate people’s privacy. The main aim of this research is to address the issues associated with battery constraints for WSN and resolve these issues. Such an algorithm could be successfully applied to environmental monitoring for healthcare systems where a dense sensor network is required and the stability period should be high.
Źródło:
Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 223-246
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An ant algorithm for the maximum number of 3-cliques in 3-partite graphs
Autorzy:
Schiff, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2183443.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
ant colony optimization
three-partite graph
3-clique
combinatorial optimization
graph theory
Opis:
The problem of finding the maximum number of d- vertices cliques (d = 3) in d-partite graph (d = 3) when graph density q is lower than 1 is an important problem in combinatorial optimization and it is one of many NP-complete problems. For this problem a meta-heuristic algorithm has been developed, namely an ant colony optimization algorithm. In this paper a new development of this ant algorithm and experimental results are presented. The problem of finding the maximum number of 3-vertices cliques can be encountered in computer image analysis, computer vision applications, automation and robotic vision systems. The optimal solution of this problem boils down to finding a set of 3-vertices cliques in a 3-partite graph and this set should have cardinality as high as possible. The elaborated ant colony algorithm can be easily modified for d-dimensional problems, that is for finding the maximum number of d-vertices cliques in a d-partite graph.
Źródło:
Control and Cybernetics; 2021, 50, 2; 347--358
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Logistic staff managment - ant algorithm for the optimal team creation
Autorzy:
Schiff, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/409194.pdf
Data publikacji:
2019
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
logistic staff management
three dimensional matching problem
ant colony
Opis:
During daily logistic management managers often met difficult decision optimization problem concerning company staff. Such problems often rely on matching workers between them and team leader or matching worker to a place and a time slot and often they, menagers want to optimise their resources in order to receive such matches as maximum as possible as regars a cardinality number of a such set. These optimisation problem are often NP-difficults and to solve them menagers need special software tools. To aid managers in such situation artificial methods are used. Between artificials methods is a one called the ant colony optimisation algorithm and why in this article an ant colony optimization algorithm for the maximum cardinality 3-dimensional matching problem is described. The problem is modeled by means of 2-dimensional arrays. The elaborated ant algorithm was compared with another existing ant algorithm and tested for different values of ant algorithm parameters. Results of these tests were presented and discussed. The elaborated algorithm shows its superiority.
Źródło:
Research in Logistics & Production; 2019, 9, 1; 49-59
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytm wielu kolonii mrówek dla optymalnego dopasowania w ważonych grafach dwudzielnych
Multi-type Ant colony algorithm for optimal matching problem in weighted bipartite graph
Autorzy:
Schiff, K.
Powiązania:
https://bibliotekanauki.pl/articles/320231.pdf
Data publikacji:
2008
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
optymalizacja koloniami mrówek wielu typów
minimalny problem dopasowania w grafach dwudzielnych
maksymalny problem dopasowania w grafach dwudzielnych
Multi-type Ant Colony Optimization
minimum weighted bipartite matching
maximum weighted bipartite matching
Opis:
Praca prezentuje algorytm wykorzystujący metodę optymalizacji różnymi typami kolonii mrówek dla problemu maksymalnego i minimalnego dopasowania w ważonych grafach dwudzielnych. Algorytm ten wyznacza optymalne dopasowanie, bazując na wyznaczaniu rozdzielnych ścieżek w grafie między wierzchołkami s-t, które stanowią rozwiązanie dla problemu optymalnego dopasowania w ważonych grafach dwudzielnych. Opracowany algorytm został porównany z algorytmem węgierskim i algorytmem mrówkowym o jednym typie kolonii mrówek i omówione zostały wyniki tego porównania.
In this paper algorithm for optimal matching problem in weighted bipartite graph is presented, which is based on multi-type ant colony optimization. Matching problem is modeled as disjoint-paths problem between s-t vertices. Multi-type ants was used in order to find these disjoint paths between s-t vertices which are the solution for optimal matching problem in weighted bipartite graph. The algorithm was compared with Hungarian algorithm and ACO algorithm for optimal matching problem in weighted bipartite graph and results of this comparison was discussed.
Źródło:
Elektrotechnika i Elektronika; 2008, 27, 2; 115-119
1640-7202
Pojawia się w:
Elektrotechnika i Elektronika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new metaheuristic algorithm for long-term open-pit production planning
Nowy meta-heurystyczny algorytm wspomagający długoterminowe planowanie produkcji w kopalni odkrywkowej
Autorzy:
Sattarvand, J.
Niemann-Delius, C.
Powiązania:
https://bibliotekanauki.pl/articles/219597.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
optymalizacja kopalń odkrywkowych
planowanie produkcji
optymalizacja metodą kolonii mrówek
metaheurystyka
open pit optimization
production planning
ant colony optimization
metaheuristics
Opis:
Paper describes a new metaheuristic algorithm which has been developed based on the Ant Colony Optimisation (ACO) and its efficiency have been discussed. To apply the ACO process on mine planning problem, a series of variables are considered for each block as the pheromone trails that represent the desirability of the block for being the deepest point of the mine in that column for the given mining period. During implementation several mine schedules are constructed in each iteration. Then the pheromone values of all blocks are reduced to a certain percentage and additionally the pheromone value of those blocks that are used in defining the constructed schedules are increased according to the quality of the generated solutions. By repeated iterations, the pheromone values of those blocks that define the shape of the optimum solution are increased whereas those of the others have been significantly evaporated.
W artykule zaprezentowano nowy meta-heurystyczny algorytm oparty na zasadach optymalizacji mrowiska i zbadano jego skuteczność w zastosowaniach do planowania wydobycia w kopalniach. Uwzględniono szereg zmiennych w każdym bloku schematu i przeanalizowano „ślady feromonów” które przedstawiają „dążność” poszczególnych bloków w danej kolumnie do stania się najgłębszym punktem kopalni w trakcie określonego okresu prowadzenia prac wydobywczych. W ramach kolejnych iteracji generuje się kilka harmonogramów prowadzenia wydobycia. Następnie wartości poziomu feromonów przypisane do kolejnych bloków redukowane są do wielkości wyrażonych w procentach a wartości poziomu feromonów przypisane do bloków wykorzystywanych do wygenerowania danego harmonogramu zostają powiększone, zgodnie z wymogami odnośnie jakości uzyskanych rozwiązań. Drogą kolejnych iteracji, wartości poziomu feromonów przypisane do bloków generujących rozwiązania optymalne zostają powiększane podczas gdy wartości przypisane do bloków pozostałych zostają odpowiednio pomniejszone.
Źródło:
Archives of Mining Sciences; 2013, 58, 1; 107-118
0860-7001
Pojawia się w:
Archives of Mining Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of travel routes based on modified genetic and ant algorithms
Autorzy:
Rybchak, Z.
Powiązania:
https://bibliotekanauki.pl/articles/410861.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
ant algorithm
ant colony genetic algorithm
hiking trails
algorytm mrówkowy
genetyczny algorytm mrówkowy
ścieżki turystyczne
Opis:
In the article, propose to use modified mating operators and initialization genetic and ant algorithms to solve transport problems in tourism. The article analyzes modern methods of optimization of routes used to transport tourists between the settlements of view of efficient use of resources. By analyzing the behavior of ant colonies, such as finding the shortest route by providing mating pheromones and features two solutions genetic algorithm developed algorithms for finding the optimal route, costing resources search distance, time, route, storing executed routes. The paper present description created system for mobile phones operating system IOS, which performs all operations listed above.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2017, 6, 2; 85-90
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An ACO Path Planner Using a FIS for Path Selection Adjusted with a Simple Tuning Algorithm
Autorzy:
Porta-Garcia, M.
Montiel, O.
Sepulveda, R.
Powiązania:
https://bibliotekanauki.pl/articles/384490.pdf
Data publikacji:
2008
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
ant colony optimization
ACO
autonomous mobile robot
navigation
fuzzy logic
path planning
Opis:
This paper presents a path planner application for mobile robots based on Ant Colony Optimization (ACO). The selection of the optimal path relies in the criterion of a Fuzzy Inference System (FIS), which is adjusted using a Simple Tuning Algorithm (STA). The path planner can be executed in Mode I and Mode II. The first mode only works in the virtual environment of the interface, while Mode II embraces the wireless communication with a real robot; once the ACO algorithm finds the best route, the coordinates are sent to a mobile robot via Bluetooth communication; if the robot senses a new obstacle, the computer is notified and does a rerouting routine in order to avoid the obstacle and reach the goal. In other words, the application supports dynamic search spaces.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 5-11
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Comparative Study of PID Controller Tuning Using GA, EP, PSO and ACO
Autorzy:
Nagaraj, B.
Vijayakumar, P.
Powiązania:
https://bibliotekanauki.pl/articles/384767.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
ant colony algorithm
evolutionary program
genetic algorithm particle swarm optimization and soft computing
Opis:
Proportional - Integral - Derivative control schemes continue to provide the simplest and effective solutions to most of the control engineering applications today. How ever PID controller are poorly tuned in practice with most of the tuning done manually which is difficult and time consuming. This article comes up with a hybrid approach involving Genetic Algorithm (GA), Evolutionary Pro gramming (EP), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). The proposed hybrid algorithm is used to tune the PID parameters and its per formance has been compared with the conventional me thods like Ziegler Nichols and Cohen Coon method. The results obtained reflect that use of heuristic algorithm based controller improves the performance of process in terms of time domain specifications, set point tracking, and regulatory changes and also provides an optimum stability. Speed control of DC motor process is used to assess the efficacy of the heuristic algorithm methodology
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 2; 42-48
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A nature inspired collision avoidance algorithm for ships
Autorzy:
Lazarowska, A.
Powiązania:
https://bibliotekanauki.pl/articles/24201448.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
collision avoidance algorithm
safe own Ship's Trajectory
safe navigation
ant colony optimization
firefly agorithm
path planning
swarm intelligence
nature inspired computing
Opis:
Nature inspired algorithms are regarded as a powerful tool for solving real life problems. They do not guarantee to find the globally optimal solution, but can find a suboptimal, robust solution with an acceptable computational cost. The paper introduces an approach to the development of collision avoidance algorithms for ships based on the firefly algorithm, classified to the swarm intelligence methods. Such algorithms are inspired by the swarming behaviour of animals, such as e.g. birds, fish, ants, bees, fireflies. The description of the developed algorithm is followed by the presentation of simulation results, which show, that it might be regarded as an efficient method of solving the collision avoidance problem. Such algorithm is intended for use in the Decision Support System or in the Collision Avoidance Module of the Autonomous Navigation System for Maritime Autonomous Surface Ships.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 341--346
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł

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