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Parameter Selection for Swarm Intelligence Algorithms: Case Study on Parallel Implementation of FSS
Menezes, Breno A. M.; Wrede, Fabian; Kuchen, Herbert; … - In: International Journal of Swarm Intelligence Research (IJSIR) 9 (2018) 4, pp. 1-20
Swarm intelligence (SI) algorithms are handy tools for solving complex optimization problems. When problems grow in …
Persistent link: https://www.econbiz.de/10012047866
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Analysis of the Dynamical Characteristics of the Firefly Algorithm
Shindo, Takuya; Xiao, Jianze; Kurihara, Takuya; Jin'no, … - In: International Journal of Swarm Intelligence Research (IJSIR) 8 (2017) 4, pp. 18-33
The firefly algorithm is a meta-heuristic algorithm, the fundamental principle of which mimic the characteristics associated with the blinking of natural fireflies. This paper, presents a rigorous analysis of the dynamics of the firefly algorithm, which the authors performed by applying a...
Persistent link: https://www.econbiz.de/10012047853
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VRoptBees: A Bee-Inspired Framework for Solving Vehicle Routing Problems
Masutti, Thiago A.S.; Nunes de Castro, Leandro - In: International Journal of Natural Computing Research (IJNCR) 7 (2018) 1, pp. 32-56
Combinatorial optimization problems are broadly studied in the literature. On the one hand, their challenging … routing problems constitute a well-known class of combinatorial optimization problems, from which the Traveling Salesman … inspired by biological phenomena are being successfully applied to solve optimization tasks, mainly combinatorial optimization …
Persistent link: https://www.econbiz.de/10012046726
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Swarm Intelligence for Automatic Video Image Contrast Adjustment
Aparna, RR - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 3, pp. 21-37
Video surveillance has become an integrated part of today's life. We are surrounded by video cameras in all the public places and organizations in our day to day life. Many useful information like face detection, traffic analysis, object classification, crime analysis can be assessed from the...
Persistent link: https://www.econbiz.de/10012047358
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City Group Optimization: An Optimizer for Continuous Problems
Yang, Yijun; Duan, Haibin - In: International Journal of Swarm Intelligence Research (IJSIR) 7 (2016) 3, pp. 1-22
, the city group optimization algorithm is presented, which is based on urbanology and mimics the evolution of city groups …. The robustness and evolutionary process of the proposed city group optimization algorithm are validated by testing it on …
Persistent link: https://www.econbiz.de/10012047836
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Review on nature-inspired algorithms
Korani, Wael; Mouhoub, Malek - In: Operations research forum 2 (2021) 3, pp. 1-26
Persistent link: https://www.econbiz.de/10012589919
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A new approach for solving the minimum vertex cover problem using artificial bee colony algorithm
Banharnsakun, Anan - In: Decision analytics journal 6 (2023), pp. 1-6
-Hard optimization problems, meaning that the best solution cannot be found within an acceptable time. Therefore, to handle this … optimization problem effectively, various alternative approaches based on either approximation or metaheuristic techniques have …
Persistent link: https://www.econbiz.de/10014505975
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STIGMERGIC LANDMARK OPTIMIZATION
LEMMENS, N.; TUYLS, K. - In: Advances in Complex Systems (ACS) 15 (2012) 08, pp. 1150025-1
In this paper we present three Swarm Intelligence algorithms which we evaluate on the complex foraging task domain. Each of the algorithms draws inspiration from biologic bee foraging/nest-site selection behavior. The main focus will be on the third algorithm, namely STIGMERGIC LANDMARK FORAGING...
Persistent link: https://www.econbiz.de/10010616241
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Big data analytics with swarm intelligence
Cheng, Shi; Zhang, Qingyu; Qin, Quande - In: Industrial Management & Data Systems 116 (2016) 4, pp. 646-666
Purpose – The quality and quantity of data are vital for the effectiveness of problem solving. Nowadays, big data analytics, which require managing an immense amount of data rapidly, has attracted more and more attention. It is a new research area in the field of information processing...
Persistent link: https://www.econbiz.de/10014825797
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A novel hybrid meta-heuristic technique applied to the well-known benchmark optimization problems
Abtahi, Amir-Reza; Bijari, Afsane - In: Journal of Industrial Engineering International 13 (2017) 1, pp. 93-105
In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of...
Persistent link: https://www.econbiz.de/10011773035