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Optimization of Path Planning for Construction Robots Based on Multiple Advanced Algorithms

Kang Tan
2018 Journal of Computer and Communications  
Therefore, the innovation of this paper is to analyze three advanced optimization algorithms (genetic algorithm, hybrid particle swarm algorithm and ant colony algorithm) and discuss how these algorithms  ...  There are many processes involved in construction, it is necessary to optimize the path planning of construction robots.  ...  Ant Colony Algorithm The Principle of Ant Colony Algorithm The ant colony algorithm (ACO) is a method to simulate the behavior of ant foraging.  ... 
doi:10.4236/jcc.2018.67001 fatcat:klyow5bqd5fgtpovwad4npv5r4

Research Progress of Intelligent Optimization Algorithm in Big Data Background

2017 DEStech Transactions on Computer Science and Engineering  
In recent decades, genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), Artificial Fish School Algorithm, Bacteria Foraging Optimization Algorithm (BFOA), artificial  ...  In this paper, several typical intelligent optimization algorithms are introduced, including genetic algorithm, particle swarm optimization algorithm, ant colony algorithm, artificial fish swarm algorithm  ...  Figure 2 . 2 Ant colony optimization diagram [6] .Artificial Fish School Algorithm, AFSA.  ... 
doi:10.12783/dtcse/aiea2017/14918 fatcat:6sz5sozmirbb3fxdu6q52tjewm

Choose The Best Project Based On Simulation Optimization And Ant Colony Optimization Algorithm

Hamid Reza Feili, Alireza Farsi, Niloofar Nobahari
2013 Journal of Mathematics and Computer Science  
To find the best answer we repeat the model more than 800 times with the help of Ant colony optimization algorithms.  ...  Bearing in mind with more repeat we minimize the mistakes in project and get to the optimize answer.  ...  F(t) = max { 0 , S(t) × P(t) -Q(t) × V -K } (8) Ant Colony Optimization Algorithms Ants' behavior was sprit to expand this algorithm.  ... 
doi:10.22436/jmcs.07.02.03 fatcat:gpj6wjs33bgozomkaykpw3tnmu

A Two-Phase Hybrid Optimization Algorithm for Solving Complex Optimization Problems

Huiling Bao
2015 International Journal of Smart Home  
For solving traveling salesman problem (TSP), the ant colony optimization (ACO) algorithm and simulated annealing (SA) algorithm are used to propose a two-phase hybrid optimization (TPASHO) algorithm in  ...  And it has the better search precision and the faster convergence speed.  ...  [12] proposed a population declining ant colony optimization (PDACO) algorithm to the traveling salesman problem (TSP) and multiuser detection.  ... 
doi:10.14257/ijsh.2015.9.10.04 fatcat:vbwbhzj2sbfg7okvlpgzkxpnvm

Application Methods of Ant Colony Algorithm

Elnaz Shafigh Fard
2014 American Journal of Software Engineering and Applications  
As one of the most prestigious and beneficial methods of artificial intelligence, ant colony takes the advantage of communal behavior of ants in nature for solving optimization problems in various fields  ...  However, this useful algorithm requires extensive and repetitious computation, as a result, the processing duration of the present algorithm seems to be one of the most serious challenges about it.  ...  Hence, the typical application of such optimized algorithm for most speed functions will be useless. In the following passage, ant colony algorithm and its function will be introduced.  ... 
doi:10.11648/j.ajsea.20140302.11 fatcat:4vvvgixx6bfjxd5v65pdg5ug6y

A Novel Hybrid Evolution Optimization Algorithm and its Application

Bin Gao, Jing-Hua Zhu, Wen-Chang Lang
2015 International Journal of Database Theory and Application  
For the premature convergence and initial pheromone distribution problem of ant colony optimization algorithm, an improved particle swarm optimization (MPSO) algorithm is introduced into ant colony optimization  ...  algorithm in order to propose a novel hybrid evolution optimization (HEACO) algorithm in this paper.  ...  Acknowledgments This research was supported by Zhejiang Provincial Natural Science Foundation of China (LQ12E01003) and Zhejiang Provincial Technical Plan Project (2012C21099).  ... 
doi:10.14257/ijdta.2015.8.5.16 fatcat:ocelow5lunhdhdv2vrgisvmezy

Design of Hybrid Optimization Algorithm Targeting at Vehicle Routing for Large-Scale Outlets

Li Shen, Li Yuan Xiang, Li Bo, Xu Ning, Xu Shengzhou
2014 Sensors & Transducers  
This paper has designed a hybrid optimization algorithm based on ant colony algorithm, genetic algorithm and chaos algorithm to satisfy the large scale network requirements in practical applications.  ...  Further optimization has been made to the individuals and populations of the ant colony algorithm and adaptive pheromone update mechanism has been established to effectively solve some practical problems  ...  Basic ant Colony Algorithm Ant colony optimization (ACO), also known as ant algorithm, is a probability-based algorithm to seek optimal route in the diagram.  ... 
doaj:423caa75f61d4ddcb9498c80205a1945 fatcat:urn6xk6zrfgz3hhthmrf5xjgr4

Wireless Sensor Network Route Optimization Based on Improved Ant Colony-Genetic

Wei Liu, Yongfeng Cui, Zhongyuan Zhao
2015 International Journal of Online Engineering (iJOE)  
After analyzing the complex multi-objective optimization problem, Ant Colony Optimization (ACO) algorithm was introduced to search the best route.  ...  Inspired by Genetic Algorithm (GA), we embed two operations into ACO to refine it. First, every ant after achieving sink will be regarded as an individual such as that in GA.  ...  ACKNOWLEDGMENTS The authors wish to thank the Science and Technology Plan Projects of Henan Province for contract 132300410485 and 142300410463, the Key Research Projects of Universities in Henan Province  ... 
doi:10.3991/ijoe.v11i9.5057 fatcat:72q4owqb5fhu7gfgytuimxnl6m

Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm

Lu Jing, Wei Wang
2020 Complexity  
Simulation experiments tested the recognition rates of traditional ant colony algorithm and improved ant colony algorithm.  ...  The core is to adopt an adaptive volatilization coefficient and dynamic pheromone update strategy for the basic ant colony algorithm.  ...  is still very large in speech recognition system by optimizing the parameters of ant colony algorithm and improving pheromone update mechanism of ant colony algorithm; its performance in speech recognition  ... 
doi:10.1155/2020/8858399 fatcat:drsmm3rf5bc7niyxju3ey4aiui

An Optimized Clustering Algorithm based on Integration of Genetic Algorithm and Ant Colony Algorithm

Shucheng Xiao, Shanjing Chen, Shan Qiu, Zhendong Yang, Juan Xu, Jinlan Qiao, Saixuan Yu
2017 International Journal of Security and Its Applications  
Genetic algorithm (GA) has good fast global searching ability and ant colony algorithm has good distributed parallelism and positive feedback ability.  ...  In this paper, an optimized clustering algorithm was proposed by integrating these two algorithms and making full use of their advantages and characteristics.  ...  Based on this initial clustering center, threshold for automatic starting the fuzzy ant colony algorithm after the optimization speed of GA declined is set.  ... 
doi:10.14257/ijsia.2017.11.2.03 fatcat:mgokg5aw3fdyhk272veruykoa4

Optimized Resource Allocation Algorithm for Crowd-Creation Space Computing Based on Cloud Computing Environment

Aaras Y.Kraidi 2 Mustafa El-Taie 1
2021 Zenodo  
Journal of Intelligent Systems and Internet of Things (JISIoT) Vol. 4, No. 1, PP. 8-25, 2021  ...  colony algorithm with the basic ant colony algorithm and the genetic algorithm based ant colony algorithm.  ...  Ant colony algorithm has been widely studied and improved since it was proposed because of its positive feedback mechanism and robustness.  ... 
doi:10.5281/zenodo.5203089 fatcat:uk37xjxwkzewrgtmkvg3harxpy

Study on safe evacuation routes based on crowd density map of shopping mall

Sun Lishuang, Zhao Qi, Xie Zhiwei
2020 IEEE Access  
Method for determining the optimal evacuation route using an improved ant colony algorithm The ant colony algorithm has defects: (1) The ant colony algorithm is a large space search algorithm, especially  ...  Then, the pheromone volatility coefficient ρ is measured through adaptive adjustment by using the exponential decline method, and the introduction of elite ants to optimize and update the ant colony pheromone  ...  Author Contribution:data curation, supervision ,writing-review and editing,  ... 
doi:10.1109/access.2020.3015956 fatcat:cvkf4bn5bzgynklsvjobipivha

Optimization using evolutionary metaheuristic techniques: a brief review

Sajja Radhika, Aparna Chaparala
2018 Brazilian Journal of Operations & Production Management  
The present paper attempts to provide a general overview of a few selected algorithms, including genetic algorithms, ant colony optimization, particle swarm optimization, and simulated annealing techniques  ...  Additionally, the review is extended to present differential evolution and teaching-learning-based optimization. Few applications of the said algorithms are also presented.  ...  Population-based methods include Genetic algorithm, Particle swarm optimization, Ant colony optimization, Scatter search, Memetic algorithm etc.  ... 
doi:10.14488/bjopm.2018.v15.n1.a17 fatcat:3yayzbe2nna2fpvtzfdhgy2whm

Investigation and Analysis on Evacuation Behavior of Large Scale Population in Campus

Rong-xue Shang, Pei-hong Zhang, Mao-hua Zhong
2013 Procedia Engineering  
Based on the application of the Self-adaptive Ant Colony Optimization Algorithm, the large scale evacuation path is optimized to the whole scale.  ...  Large scale evacuation plan can be optimized based on the Selfadaptive Ant Colony Optimization Algorithm, which can not only reduce the Real Safety Evacuation Time (RSET) on the whole scale, it can also  ...  Acknowledgements This work was financially supported by the National Natural Science Foundation of China (51174046 and 91024022), as well as the Natural Science Foundation of Liaoning Province (20102066  ... 
doi:10.1016/j.proeng.2013.02.144 fatcat:2hfagydqpzctxgebfkh3vpxg6y

Chaotic Time Series Prediction for Rock-Paper-Scissors using Adaptive Social Behaviour Optimization (ASBO)

S. Rajarajeshwari, Raveena Kumar, Sandhya Sankaranarayanan
2013 International Journal of Computer Applications  
Nevertheless, such data can be optimized to make sense out of the chaos. Multiple algorithms exist to this end, which have various applications.  ...  It is possible to identify and predict patterns in the choices made by the real agent during the course of play by analyzing the sequence of chaotic data using the Adaptive Social Behaviour Optimization  ...  OPTIMIZATION ALGORITHMS Multiple algorithms such as the Particle Swarm Optimization algorithm, the Ant Colony Optimization algorithm and the Adaptive Social Behaviour Optimization algorithm exist to find  ... 
doi:10.5120/12931-9878 fatcat:344xuqr6kjdexkqf4tcsu5i6ma
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