Showing 1-25 of 2,132 resultsfor "Index Terms":dynamic ant colony algorithm
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Research on dynamic allocation of human resources based on Improved Ant Colony Optimization
2021 International Conference of Social Computing and Digital Economy (ICSCDE)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In order to solve the problems of poor balance and low efficiency of traditional dynamic allocation method of human resources, this paper proposes a new dynamic allocation method of human resources based on improved ant colony optimization. In order to improve the convergence of the traditional ant colony optimization algorithm and avoid falling into the local optimal solution, the ant colony opti...Show More
Path Planning of Mobile Robot Based on Dynamic Chaotic Ant Colony Optimization Algorithm
Xiaoting Li;Tingpei Huang;Haihua Chen;Yucheng Zhang;Luo Xu;Yingying Liu
2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
In this paper, a Dynamic Chaotic Ant Colony Optimization (DCACO) algorithm is proposed to solve the problems of traditional Ant Colony Optimization (ACO) algorithm in mobile robot path planning, such as long time consuming, slow convergence speed and easy to fall into local optimum. In DCACO, cosine annealing strategy is used to improve the expectation heuristic factor to balance the global search...Show More
Load balancing algorithms in heterogeneous web cluster
2018 International Interdisciplinary PhD Workshop (IIPhDW)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
The load balancing is dedicated for distributed and parallel systems to manage the web cluster. It distributes the load among web servers using several scheduling algorithms. This paper investigates a detailed comparison of some HAProxy algorithms in heterogeneous web cluster as well as the meta-heuristic methods that inspired by the insects' colonies behavior such as Ant Colony Optimization algor...Show More
A Novel Voltage Scaling Algorithm through Ant Colony Optimization for Embedded Distributed Systems
2007 IEEE International Conference on Integration Technology
Year: 2007 | Conference Paper |
Cited by: Papers (3)
Dynamic voltage scaling, supported by many DVS-enabled processors, is an efficient technique for energy-efficient embedded systems. Many researchers work on DVS and have presented various DVS algorithms, some with quite good results. However, the previous algorithms either have a large time complexity or obtain results sensitive to the count of the voltage modes. Fine-grained voltage modes lead to...Show More
Metaheuristics for dynamic combinatorial optimization problems
Many real-world optimization problems are combinatorial optimization problems subject to dynamic environments. In such dynamic combinatorial optimization problems (DCOPs), the objective, decision variables and/or constraints may change over time, and so solving DCOPs is a challenging task. Metaheuristics are a good choice of tools to tackle DCOPs because many metaheuristics are inspired by natural...Show More
Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating
2010 IEEE International Conference on Data Mining Workshops
Year: 2010 | Conference Paper |
Cited by: Papers (2)
To solve the problem of complexity and uncertainty in logistics and distribution system, a kind of Ant Colony Optimization algorithm based on immunity vaccine and dynamic pheromone updating is put forward in this paper. In this new Algorithm, initial antibody is vaccinated first to produce better solutions, and initial parameters are then set depending on these better solutions by the Ant Colony. ...Show More
An Approach Based on Clustering Method for Object Finding Mobile Robots Using ACO
2010 Second International Conference on Machine Learning and Computing
Year: 2010 | Conference Paper |
Cited by: Papers (1)
In this paper, we propose Clustering method and Ant Colony Optimization (ACO) for mobile robot. This paper describes the analysis and design of a new class of mobile robots. These small robots are intended to be simple and inexpensive, and will all be physically identical, thus constituting a homogeneous team of robots. They derive their usefulness from their group actions, performing physical tas...Show More
An ant colony optimization algorithm based on dynamic evaporation rate fitting
2011 IEEE 3rd International Conference on Communication Software and Networks
Year: 2011 | Conference Paper |
The study of swarm intelligence is more and more popular, much study have been done on swarm intelligence such as ACO (Ant Colony Optimization), and many applications also have been made in the field of combinatorial optimization. However, when solving combinatorial optimization problems, especially these problems with large scale, slow convergence and easy to fall into stagnation still restraint ...Show More
Self-organized manufacturing resource management: An ant-colony inspired approach
2008 10th International Conference on Control, Automation, Robotics and Vision
Year: 2008 | Conference Paper |
Cited by: Papers (1)
In a typical manufacturing system, jobs are released from a production planning stage to a shop floor, where they are allocated to resources like machines. An optimal or near optimal schedule is generally found for those jobs. In reality, the execution of this schedule is often interrupted by dynamic events like unexpected incoming new jobs, machine breakdowns, etc. A rapid recovery or a self-orga...Show More
Optimized Dynamic Load Balance Method Based on Ant Colony Optimization Algorithm
2021 IEEE 9th International Conference on Computer Science and Network Technology (ICCSNT)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Oriented to dynamic load balance of high concurrent cluster, an Optimized Dynamic Load Balance Method (ODLBM) based on Ant Colony Optimization (ACO) is proposed in this paper. Compared to traditional static load balance approach, ODLBM tends to resolve complex dynamic load balance problem with dynamic cluster and heterogeneous tasks. First, the dynamic load balance problem is transformed to the op...Show More
Ant Colony Algorithm for Job Scheduling in Grid Computing
2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
Year: 2010 | Conference Paper |
Cited by: Papers (19)
Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneous nature of the resources. Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources. This will lead to resources having high workload and stagnation may occur if computational times of the processed jobs are high. This paper proposed an enhanced ant ...Show More
Hybrid ant colony optimization based on Genetic Algorithm for container loading problem
2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR)
Year: 2011 | Conference Paper |
Cited by: Papers (4)
A hybrid ant colony optimization based on Genetic Algorithm (GA) is applied to solving complex packing problem in the paper. Firstly, it searches for a set of rough solutions with the random search ability and the rapid global convergence of GA. Then, this set of solutions are used as the initial input of Ant Colony Optimization(ACO), using the positive feedback mechanism, the parallelism and the ...Show More
A Bi-directional Ant colony algorithm for resource constrained project scheduling
2007 IEEE International Conference on Industrial Engineering and Engineering Management
Year: 2007 | Conference Paper |
Cited by: Papers (1)
The resource-constrained project scheduling problem is a typical combinatorial optimization problem. An ant algorithm with dual ant colonies is proposed to improve the effective allocation of project resources. The algorithm adaptively adjusts resource allocation according to the pheromone updated by artificial ants employed to search for feasible schedules. Two separate ant colonies are employed....Show More
Proposition of two multiple criteria models applied to Dynamic Multi-objective Facility Layout Problem based on Ant Colony Optimization
2009 IEEE International Conference on Industrial Engineering and Engineering Management
Year: 2009 | Conference Paper |
Cited by: Papers (4)
Dynamic facility layout problem (DFLP) has garnered much attention lately. At the current time, researches in this area are mainly on the distance-based objective or quantitative aspect of DFLP. However, focusing on the quantitative objective alone is not adequate to reflect situations in the real world-a little consideration is given to the quality aspect of facility layout such as the adjacency ...Show More
Ant Colony Optimization for Sensor Management
2007 IEEE International Conference on Control and Automation
Year: 2007 | Conference Paper |
This paper presents a novel algorithm based on ant colony optimization for solving the sensor management problem. First, we establish a two dimension node graph representation of the problem along which the ant can move properly to construct candidate solutions. Then a dynamic heuristic ant colony optimization (DHACO) algorithm is exploited according to the graph representation. The main novel ide...Show More
Bayesian network based Ant Colony Optimization algorithm for USV path planning in a dynamic environment
2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
This paper proposes a modified Ant Colony Optimization (ACO) algorithm with Bayesian network to solve the Unmanned Surface Vehicle (USV) path planing problem. By analyzing the variables correlation using in Bayesian network, the Bayesian network ant colony optimization (BN-ACO) algorithm is proposed, where the transition probability rule of ACO is modified to avoid local minimum and improve the co...Show More
Ant Colony Optimization-Based Path Planning for UAV Navigation in Dynamic Environments
Badar Al Baroomi;Thirein Myo;Muhammad R Ahmed;Abdullah Al Shibli;Mohammed H Marhaban;M Shamim Kaiser
2023 7th International Conference on Automation, Control and Robots (ICACR)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
In a dynamic environment, path planning for Unmanned Aerial Vehicles (UAVs) is challenging due to obstacles and changing conditions. To solve this, bio-inspired metaheuristic algorithms such as Ant Colony Optimization (ACO) have shown promising result in solving optimization problems. In this paper we have presented ACO-based path planning algorithms for UAV navigation in dynamic environments. We ...Show More
On the Dynamic Ant Colony Algorithm Optimization Based on Multi-pheromones
Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)
Year: 2008 | Conference Paper |
Cited by: Papers (18)
In this paper, an algorithm DACO (dynamic ant colony optimization algorithm based on multi- pheromones) is put forward to apply to the dynamics of web services state and QoS in service composition optimization. In order to denote users' needs more accurately, this algorithm sets multiple pheromones. The DACO is also improved based on experiment in order to make it better and faster converge to opt...Show More
Community mining in dynamic social networks — Clustering based improved ant colony algorithm
2011 6th International Conference on Computer Science & Education (ICCSE)
Year: 2011 | Conference Paper |
Cited by: Papers (1)
Community mining has been the focus of many recent researches on dynamic social networks. In this paper, we propose a clustering based improved ant colony algorithm (CIACA) for community mining in social networks. The CIACA combines the local pheromone update rule with the global update rule and utilizes heuristic function to adjust the clustering solution dynamically, assisted by decay coefficien...Show More
This article presents an overview of recent work on ant algorithms, that is, algorithms for discrete optimization that took inspiration from the observation of ant colonies' foraging behavior, and introduces the ant colony optimization (ACO) metaheuristic. In the first part of the article the basic biological findings on real ants are reviewed and their artificial counterparts as well as the ACO m...Show More
Simulation of Fault Recovery Optimization Decision Model for Power Distribution Network Based on Ant Colony Optimization Algorithm
2024 Asia-Pacific Conference on Software Engineering, Social Network Analysis and Intelligent Computing (SSAIC)
Year: 2024 | Conference Paper |
In this article, the simulation of optimal decision model for fault recovery of power distribution network (PDN) based on ant colony optimization (ACO) algorithm is mainly studied. Firstly, aiming at the shortcomings of traditional ACO algorithm, this article improves it, introduces elite strategy and dynamically adjusts pheromone volatilization rate to improve the search ability and robustness of...Show More
Evaluation of Network Dynamic Defense Effectiveness Based on Ant Colony Optimization Algorithm
2023 International Conference on Telecommunications, Electronics and Informatics (ICTEI)
Year: 2023 | Conference Paper |
In recent years, the idea of NDD (Network Dynamic Defense) has received increasing attention from academia and industry, and mobile target defense technologies applied to multiple levels of information systems have been continuously proposed, achieving certain defense effects. NDD is a network security mechanism that increases the difficulty and cost of attacks by effectively reducing the similari...Show More
A New Research of Resource Scheduling Based on Multi-agent Manufacturing Grid
2010 Asia-Pacific Conference on Wearable Computing Systems
Year: 2010 | Conference Paper |
According to the complex environment of wide-area, dynamic and heterogeneous in the manufacturing grid, how quickly and accurately discover and the schedule resources, enable QoS to achieve the desired effect, this paper presented the new method to discovering the resources of using Mobile Agent in the manufacturing grid, has designed the resources optimal goal, improved genetic ant colony algorit...Show More
Reactive power optimization in power system based on chaos ant colony algorithm
2009 International Conference on Sustainable Power Generation and Supply
Year: 2009 | Conference Paper |
Cited by: Papers (3)
A novel co-operative agents approach, ant colony optimization (ACO) algorithm, for solving problems of combinatorial optimization, is put forward by M. Dorigo. The main characteristics of ACO are positive feedback, distributed computation. Preliminary study has shown that it has many promising futures. This paper reviews recent work on ant algorithms and applications, the chaos ant colony optimiza...Show More
Ant Colony Algorithm for Scheduling Parallel Program Based on DAG Graph Heuristics
2006 6th World Congress on Intelligent Control and Automation
Year: 2006 | Conference Paper |
Cited by: Papers (2)
Decreasing the execution time of parallel program is a key issue in the effective utilization of multiprocessor systems, and it is also a NP-hard problem. In this paper, we propose different static and dynamic attributes of task graph as ant colony heuristics to deal with the multiprocessor scheduling problem. The attributes based on task graph DAG (Direct Acyclic Graph) for parallel program, incl...Show More
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