Ant Colony Algorithm 2016 IEEE PAPER
A Review on Optimization with Ant Colony Algorithm
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Abstract–Ant colony optimization (ACO) is an algorithm based on the behavior of the real ants in finding the shortest path from a source to the food. It utilizes the behavior of the real ants while searching for the food. It has been observed that the ants deposit a certain
Research on Improved Fuzzy Optimization Routing Problem in WSNs Based on Genetic Ant Colony Algorithm
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Abstract The combination of traditional ant colony algorithm in solving the optimization process to consume a large amount of time, easily falling into local optimal solution and convergence is slow and other disadvantages, while also generating a lot of useless
Research on Application of Ant Colony Clustering Algorithm to Chinese Teaching
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Abstract With the continuous development of science and technology, computer technology and clustering technology of DM have become a part of the process of data analysis in this new era. How to use data mining technology to have better service for teaching evaluation
Low Carbon Scheduling with Iterative Ant Colony Algorithm
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Abstract This research considers a low carbon scheduling problem in unrelated parallel machines. To solve this problem, we first establish a low carbon scheduling mathematical model. Then an iterative ant optimization algorithm is presented. Furthermore, parameters
Research on Ant Colony Algorithm Optimization Neural Network Weights Blind Equalization Algorithm
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Abstract The project of ant colony algorithm optimization neural network combining blind equalization algorithm is proposed. The better initial weights of neural networks are provided because of the randomness, ergodicity and positive feedback of the ant colony
Application of Optimized GM (1, 1) Prediction Model based on Ant Colony Algorithm in the Medium and Long Term Load Forecasting
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Abstract The medium and long term load forecasting is the basis of power planning, investment, production, scheduling and trade, which plays an important role in electric power safety and economic operation. In China, it has the increasing uncertainty and the
Research in the Cloud Calculation Database Based on Improved Ant Colony Algorithm
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Abstract In cloud computing environments, the database is dynamic and real-time features, and in data access it has been a Gordian knot of cloud computing research; because in the ant colony algorithm that ants finding food shares similar correlation with cloud computing
Efficient Ant Colony Optimization (EACO) Algorithm for Deterministic Optimization
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Abstract In this paper, an efficient ant colony optimization (EACO) algorithm is proposed based on efficient sampling method for solving combinatorial, continuous and mixed- variable optimization problems. In EACO algorithm, Hammersley Sequence Sampling (
OPPA-AC: Optimal Path Planning based on Ant Colony Algorithm for Temporary Isolated Node in WSN
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Abstract In real wireless sensor network application (WSN), several nodes may suffer from link failure problem. Link failure is a problem that may exist in the presence of obstacles which blocked the wireless connection between nodes. While the link between nodes is
Vehicle Scheduling Optimization Based on Chaos Ant Colony Algorithm in Emergency Rescue
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Abstract Aiming to the demand and characteristics of vehicle scheduling optimization problem in emergency rescue, this paper establishes a multi-objective optimization model, which takes minimizing variable bidirectional distance, path risk and cost as the
Mobile Robot Path Planning Using Ant Colony Algorithm
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Abstract Path planning for the mobile robot is to find a shortest obstacle free path from the target position. Ant colony optimization method is frequently used to obtain the optimal path in the static known environment. But local minimum and slow
Research on the Hybrid ant Colony Algorithm based on Genetic Algorithm
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Abstract Since the ant colony algorithm is proposed, it has achieved the remarkable achievements in many fields. With the development of the times, the traditional ant colony algorithm exposes its limitations for solving the questions. In this paper, we improve the
Improved Ant Colony Algorithm of Image Retrieval Methods
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Abstract Ant colony algorithm since it has a better convergence and parallelism, widely used in the data retrieval, however, is not high, due to the characteristics of retrieval object use seriously affect the accuracy of retrieval, and according to this problem, this paper
Implementation of Ant Colony Optimization Algorithm for Survivable optical network
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ABSTRACT In order to withstand and recovery from faults in WDM optical networks, we propose an efficient fault localization mechanism based on ant colony optimization and mixed line-rates. Faults localization has been proved to be a complete problem in
Medical Image Registration Based on an Improved Ant Colony OptimizationAlgorithm
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Abstract:Image registration is one of the fundamental and essential tasks within image processing. It is the process of determining the correspondence between structures in two images, which are called the template image and the reference image, respectively. The
Research on an Improved Ant Colony Optimization Algorithm and its Application
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Abstract In order to improve the global solving ability and convergence speed, avoid falling into local optimal solution, the basic ant colony optimization (ACO) algorithm is improved to propose an efficient and intelligent ant colony optimization (IMVPACO) algorithm. In the
Routing Algorithm for Vehicular Ad Hoc Network Based on Dynamic Ant Colony Optimization
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Abstract:Increasing interests in Vehicular Ad hoc networks over the last decade have led to huge investments. VANET (Vehicular Ad-hoc Network) is a new field of technology which has been widely used in autonomous systems. Due to rapid topology changing and
An Ant Colony based Routing Algorithm for Wireless Sensor Network
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Abstract Wireless sensor network (WSN) is a new research area of computer science and technology and has a wide application future, more and more attention. It will be much market in application of military, health, home, environment, etc. In WSN, sensor devices
Designing Mazes for 2D Games by Artificial Ant Colony Algorithm
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Abstract:In this paper a novel approach to designing boards for 2D games is proposed. The author proposes a solution based on application of Computational Intelligence to create mazes used for entertainment like find the exit games or as an environment for other
Ant colony Algorithm based on Three Constraint Conditions for Cloud Resource Scheduling
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Abstract An improved ant colony algorithm based on the three constraint conditions that aiming at the problem of resource scheduling in cloud computing is proposed in this paper. this method is divided into three steps: Firstly, we describe the state transition probability
Research the Optimal Path of Post-Disaster Relief Vehicles Based on Ant Colony Algorithm and WSN
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Abstract Choosing a reasonable Rescue route guarantees emergency rescue command center to start the rescue work timely and effectively. In this paper, use the optimal path choice of public emergencies as an entry point of research build a post-disaster Ad Hoc
Research on an Improved Ant Colony Optimization Algorithm for Solving Traveling Salesmen Problem
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Abstract In order to improve the search result and low evolution speed, and avoid the tendency towards stagnation and falling into the local optimum of ant colony optimization (ACO) in solving the complex function, the traditional ant colony optimization algorithm is
Study on Defects Edge Detection in Infrared Thermal Image Based on Ant Colony Algorithm
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Abstract Edge extraction is an important part in the detection of infrared thermal images. Ant colony algorithm has the characteristics of high efficiency, high noise suppression, and comprehensive information of edge information. The basic principle of ant colony
Ant Colony Optimization Algorithm using Back-tracing and Diversification Strategy
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Abstract:We propose a new improved bio-inspired ant colony optimization (ACO) algorithm using the back-tracing strategy of current global path and diversification strategy. In fact, in general, ACO algorithm, the initial position of agents assigned to an each node at
Modeling Police Patrol Routing and its Problem-Solving Technique Based on theAnt Colony Optimization Algorithm (case Study: Iran's Police)
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Abstract: In light of the fact that crime prevention is of high importance on the issue of ensuring security within a community which is mostly carried out by police patrols of the police stations, making decisions on taking the best approach to plan and schedule police
OF ENERGY COST FOR HORMOZ WASTEWATER PUMP STATION BY ANT COLONY ALGORITHM AND COMPARE BY GENETIC ALGORITHM
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ABSTRACT Operating this according to external conditions have changed. For example, in a different time or different months of the year and when rain will change the input. That consequently the pumping function must also be replaced. Duty station is transferred to
Fire Evacuation using Ant Colony Optimization Algorithm
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ABSTRACT ACO is one of all-powerful meta-heuristics algorithms and some researchers have expressed the strength of some applications with the algorithm the evacuation route planning is the key aspect in case of fire disaster. Ant Colony Optimization (ACO) can be
Cancers Tumor Detection using Magnetic Resonance Imaging with Ant Colony Algorithm
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Abstract: The most fatal disease in the era of medical science is the brain tumor. it can be diagnosed if detected at the early stage of the tumor growth. Various techniques are developedhas been applied on magnetic resonance imaging to detect the abnormality
Evaluating the Performance of Ant Colony Algorithm for the Solution of Constraint Based Traveling Salesman Problem
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ABSTRACT Soft Computing is the use of inexact solution to computationally hard tasks such as the solution of NP-Complete problems. TSP is a combinatorial optimization problem. In this paper TSP problem has been solved by using ACO. The major drawback of ACO is
Application of Ant colony Algorithm in Cloud Resource Scheduling Based on Three Constraint Conditions
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Abstract. Aiming at the problem of resource scheduling in cloud computing, an ant colony algorithm based on the three constraint conditions is proposed. The implementation of this method is divided into three steps: With the help of the information elicitation factor and
A survey of various norms and optimisation based on Ant colony algorithmfor Enhancing Image
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Abstract: Image enhancement improves the visual looks of the images. In this paper various algorithm which are used to enhance the quality of the image are surveyed, special attention is given to L0 norm and ant colony based optimisation algorithms. Keywords: L0 norm,
Research on AODV Routing Protocol based on Improved Genetic Algorithmand Ant Colony Algorithm
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Abstract Aimed at the problems that classical ant colony algorithm is easy to fall into local optimal, this thesis puts forward a new AODV routing protocol based on improved geneticant colony algorithms (IGAACA-AODV) by introducing genetic algorithm (GA) to improve ant
Presenting a New Ant Colony Optimization Algorithm (ACO) for Efficient Job Scheduling in Grid Environment
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Abstract: Grid computing utilizes the distributed heterogeneous resources in order to support complicated computing problems. Job scheduling in computing grid is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign
Proposing a new Job Scheduling Algorithm in Grid Environment Using a Combination of Ant Colony Optimization Algorithm (ACO) and Suffrage
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Abstract: Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneous nature of the resources. The purpose of job scheduling in grid environment is to achieve high system throughput and minimize the execution time of
A Load Balancing Routing Mechanism Based on Ant Colony OptimizationAlgorithm for Vehicular Adhoc Network
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Abstract Vehicular Adhoc network has gained enormous attention in recent years because of its usage in intelligent transportation and mobile communication. VANET is special form of MANET with unique characteristics like high speed, fast topology changing and difficult
Research on Ebola Virus Prorogation Prediction based on Polymorphic Ant Colony Algorithm
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Abstract: The Ebola virus is a highly infectious and rare virus. In order to control the further spread of the Ebola virus, make the vaccine efficiently and quickly transport to the hardest hit by the disease, reduce constantly the number and scale of the Ebola epidemic, and
target Tracking in Wireless Sensor Networks Using Ant Colony Algorithm
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ABSTRACT- Recently different suggestions have been proposed on improving wide applications and challenges in wireless sensor networks. These challenges include energy consumption, accuracy, error prevention and correction, reliability and security. According
Parameters Evaluation of Ant Colony Algorithm based on TSP
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Abstract Ant colony algorithm is a kind of new ecological system algorithm used to solve complicated combinatorial optimization problems, and it is also a kind of heuristic evolutionary algorithm based on population, which belongs to a kind of random search
UNCERTAINTY DECISION MODEL OF THE REGIONAL COLLABORATIVE INNOVATION SYSTEM BASED ON AN IMPROVED ANT COLONY ALGORITHM
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ABSTRACT The regional collaborative innovation system is a nonlinear complex system, which has obvious uncertainty characteristics in the aspects of member selection and evolution. Ant colony algorithm, which can do the uncertainty collaborative optimization
Software Project Scheduling using Ant Colony Algorithm
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Abstract: The software project scheduling is the major problem in the areas of choosing the staff for exact task and the project manager is allowing tasks to the employee and to minimize the cost and duration of the project. In this paper we present the concept of
Resource Allocation Algorithm in Distributing System Using Ant ColonyOptimization-A Review
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Abstract–A Resource allocation systemis the central component of networking system. There are many projects which are implemented in distributed system with different architectures and services. A Network Computing System is a virtual computer formed by a networked
An Adaptive Chaotic Ant Colony Optimization Algorithm Based on Logistic Mapping
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Abstract: Ant colony optimization algorithm (ACO) is a heuristic bionic evolutionary system based on the population. The positive feedback of ACO helps to search the approximate optimal solution, however, it also makes it easier to get trapped in local optimal solution. In
AN IMPROVED ANT COLONY ALGORITHM TO CONSERVE ENERGY IN CLUSTERED AD HOC NETWORK
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ABSTRACT-Energy Conservation is a phenomenon used for the different nodes of the network to save the energy of those nodes which are participating in the network, for extending the working time of the ad-hoc nodes. The ad-hoc nodes are the nodes which
A Survey on Parallel Processing in a CPU-GPU Collaborative Environment UsingAnt Colony Optimization, Artificial Neural NetworksGenetic Algorithm
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Abstract-The purpose of this paper is to present a survey on various papers that shows various aspects of ACO, ANN, GA and their respective strategies that can be applied on a CPUGPU collaborative environment making use of the concept of parallel processing. The
AModified ANT COLONY ALGORITHM FOR SOLVING THE UNIT COMMITMENT PROBLEM
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ABSTRACT Solving the unit commitment (UC) problem is one of the most complicated issues in power systems that its exact solving can be calculated by perfect counting of entire possible compounds of generative units. UC is equated as a nonlinear optimization with
OPTIMUM DESIGN FOR TOURISM LINE BASED ON IMPROVED ANT COLONYSYSTEM ALGORITHM
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ABSTRACT This paper proposed an available measure to find the shortest line of the tourism. Subjecting a lot of conditions, we aim at selecting to the best tourism line which will spend the less time in an economic way. To the practice travel problem, using K-means
Ant-Colony Optimization algorithm For Travel Industry
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Abstract:Tours and Travel industry needs an intelligent scheduling system for the optimal use their assets, minimal fuel consumption, minimal waiting time for passengers. Popularly Travelling salesman problem has been solved by optimization programs like simplex
Solving a Closed-loop Location-inventory-routing Problem with Mixed Quality Defects Returns in E-commerce by Hybrid Ant Colony Optimization Algorithm
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Abstract: This paper presents a closed-loop location-inventory-routing problem model considering both quality defect returns and non-defect returns in e-commerce supply chain system. The objective is to minimize the total cost produced in both forward and reverse CSE PROJECTS