دانلود رایگان مقاله لاتین الگوریتم کلونی مورچه کوانتومی از سایت الزویر
عنوان فارسی مقاله:
بهینه سازی مسیر تخلیه بر اساس الگوریتم کلونی مورچه کوانتومی
عنوان انگلیسی مقاله:
Evacuation path optimization based on quantum ant colony algorithm
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
Swarm intelligence (SI) is based on natural biome communities, which has been used in various engineering applications due to its desirable properties of being adaptive, scalable, and robust [1]. The SI framework encompasses other popular frameworks such as Ant Colony Optimization (ACO) [2], and Particle Swarm Optimization (PSO) [3]. ACO is inspired from the foraging behavior of real world ant colonies, where ants release chemicals, i.e., pheromone on the route so as to mark the routes from the nest to food which would be followed by other members of the colony [4]. As a simulation evolution algorithm with typical swarm intelligence features, ACO is used to solve some complicated NP hard combinatorial optimization problems [5]. The ACO has experienced a tremendous growth, and its diverse applications include traffic congestion control [6], data mining [7], job-shop scheduling [8], and manufacturing [9]. Since evacuation methods have critical applications, scholars have carried out extensive and in-depth researches, and various approaches have been proposed and developed to deal with the evacuation problem [10]. A crowd is expected to move from areas impacted by accidents, terror attacks and other emergency events to safe zones, in short time and in the most appropriate way. However, urban evacuation is a complex adaptive system, as a mass of personnel interactions are involved [11]. Group belongingness, self-organization, and other motion characteristics of how evacuees behave during evacuation have many things in common with ant colony system. If affected by other ants in the colony, the ant would gradually tend to move along the route passed by most of the ants. Such herd behavior is in accordance with small group phenomenon of evacuees. In ACO, individuals’ perception and interaction with the environment is represented by positive feedback mechanism, which, together with communication mechanism, are important foundations of the ACO algorithm. Therefore, the ACO algorithm provides a suitable solution to evacuation path optimization regardless of some limitations such as slow astringency, earlier stagnation.
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کلمات کلیدی:
Evacuation path optimization based on quantum ant colony algorithm https://www.researchgate.net/.../302920071_Evacuation_path_optimization_based_on_q... References, authors & citations for 'Evacuation path optimization based on quantum ant colony algorithm' on ResearchGate. Evacuation path optimization based on quantum ant colony algorithm dl.acm.org/citation.cfm?id=2991953 Aug 1, 2016 - Evacuation planning contains more than a few decisions which have to be made in a very short period of time and in the most appropriate way. Quantum ant colony algorithm-based emergency evacuation path ... ieeexplore.ieee.org/document/6581025/ by F Zhang - 2013 - Cited by 5 - Related articles The evacuation path optimization in the disaster area plays an important role in reducing the human and social harm and saving aid time. In this paper, a n. [PDF]Evacuation path optimization based on quantum ant colony algorithm iranarze.ir/wp-content/uploads/2016/09/E57.pdf Evacuation path optimization based on quantum ant colony algorithm. Min Liu a, Feng Zhang a, Yunlong Ma a, Hemanshu Roy Pota b, Weiming Shen c,*. Quantum Ant Colony Algorithm Based on Bloch Coordinates ... link.springer.com/chapter/10.1007/978-3-642-34062-8_53 by X Chen - 2012 - Cited by 1 - Related articles Given classic Ant Colony Algorithm only resolves the optimization problem of discrete system, this paper proposed a Quantum Ant Colony Algorithm (QACA) ... [PDF]QUANTUM ANT COLONY OPTIMIZATION ALGORITHM BASED ON ... www.nnw.cz/doi/2012/NNW.2012.22.019.pdf by P Li - Cited by 5 - Related articles this paper proposes a quantum ant colony optimization algorithm based on Bloch sphere search. In the proposed algorithm, the positions of ants are encoded by. Bio-Inspired Computational Intelligence and Applications: ... https://books.google.com/books?isbn=3540747680 Dr. Kang Li - 2007 - Computers Donor Recognition Synthesis Method Base on Simulate Anneal ........ 215 ... 267 Ke Zhang A Novel Quantum Ant Colony Optimization Algorithm ............... 277 ... Computational Intelligence and Intelligent Systems: 7th ... https://books.google.com/books?isbn=9811003564 Kangshun Li, Jin Li, Yong Liu - 2016 - Computers It improves the ACO-based QoSR speed of calculation and of searching for path ... Ma, Z.: A mitigating stagnation-based ant colony optimization routing algorithm. ... Wang, H., Li, Y.: Quantum ant colony algorithm for QoS best routing problem. [PDF]An Improved Quantum Ant Colony Optimization Algorithm for ... - SERSC www.sersc.org/journals/IJMUE/vol10_no11_2015/19.pdf optimization (IMAQACO) algorithm based on combing quantum evolutionary algorithm with ant colony optimization algorithm is proposed for solving complex ...
