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An empirical study of density and distribution functions for ant swarm optimized rough reducts
Published 2011“…Ant colony approach in Ant Swarm algorithm generates local solutions which satisfy the Gaussian distribution for global optimization using PSO algorithm. …”
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Book Chapter -
2
An Enhanced Ant Colony Optimisation Algorithm with the Hellinger Distance for Shariah-Compliant Securities Companies Bankruptcy Prediction
Published 2024“…This study addresses the challenge of applying ant colony optimisation algorithms to imbalanced datasets, focusing on a bankruptcy dataset. …”
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Article -
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Comparison between ant colony and genetic algorithm using traveling salesman problem
Published 2013“…The aim of this study is compare the effect of using two distributed algorithm which are ant colony as a Swarm intelligence algorithm and genetic algorithm. …”
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Article -
4
A Comparative Performance Analysis of Gaussian Distribution Functions in Ant Swarm Optimized Rough Reducts
Published 2011“…Coexistence, cooperation, and individual contribution to food searching by a particle (ant) as a swarm (ant) survival behavior, depict the common characteristics of both algorithms. …”
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Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Ant colonies reside in social insect societies and maintain distributed systems that present a highly structured social organization despite of the simplicity of their individuals. …”
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Ant colony algorithm for job scheduling in grid computing
Published 2010“…A matrix is used to record the status of the available resources.The agent concept is also integrated in this algorithm for the purpose of updating the grid resource table.Experimental results obtained showed that this is a promising ant colony algorithm for job scheduling in grid environment.…”
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Conference or Workshop Item -
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
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Ant system with heuristics for capacitated vehicle routing problem
Published 2013“…As a result, the ASH algorithm is a viable alternative for addressing the CVRP with satisfactory solution quality and run time.…”
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An evaluation of network load balancing through Ant Colony Optimization (ACO) based technique / Muhammad Nur Zikri Mohamad Hafizan
Published 2020“…This project works on developing an efficient network load balancing mechanism based on the Ant Colony Optimization (ACO) algorithm. The main objectives of the ACO algorithm in this project are to achieve a balanced overall distribution of tasks across the nodes within the network and to reduce the execution time. …”
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Student Project -
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Enhanced ant colony system for reducing packet loss in wireless sensor network
Published 2018“…The proposed algorithm is inspired from a variant of ACO which is Ant Colony System (ACS) that consists of local and global pheromone updates to enhance routing path exploration and exploitation. …”
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Article -
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Load balancing using enhanced ant algorithm in grid computing
Published 2010“…Load balancing is one of the critical issues that must he considered in managing a grid computing environment.It is complicated due to the distributed and heterogeneous nature of the resources.An enhanced ant algorithm for load balancing in grid computing is proposed in this papcr.The proposed algorithm will determine the best resource to he allocated to the jobs based on job characteristics and resource capacity, and at the same time to balance the entire resources.The proposed algorithm focuses on local pheromone trail update and trail limit. …”
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Conference or Workshop Item -
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Enhanced ant colony optimization for grid load balancing
Published 2011“…This paper proposes an Enhanced Ant Colony Optimization (EACO) algorithm for dynamic schedulling and load balancing in a grid computer system. …”
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Conference or Workshop Item -
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Solving economic dispatch using ant colony optimization (ACO) / Nur Hazima Faezaa Ismail
Published 2006“…The pheromone trails in ACO serve as distributed, numerical information which the ants use to probabilistically construct solutions to the problem being solved and which the ants adapt during the algorithm's execution to reflect their search experience.…”
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Thesis -
14
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…The resource allocation problem is modeled as a graph that can be used by the ant to deliver its pheromone. …”
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15
A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem
Published 2019“…Distribution of work shifts and off days to nurses in a duty roster is a crucial task. …”
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Enhanced ant-based routing for improving performance of wireless sensor network
Published 2017“…An ant colony system algorithm for packet routing in WSN that focuses on a pheromone update technique is proposed in this paper. …”
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Ant colony optimization for capacitated vehicle routing problem.
Published 2012“…The proposed ACO utilized a pheromone evaporation procedure of standard ant algorithm in order to introduce an evaporation rate that depends on the solutions found by the artificial ants. …”
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Article -
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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…Grid computing is a distributed system with heterogeneous infrastructures. …”
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Thesis -
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Resource management in grid computing using ant colony optimization
Published 2011“…Managing resources in grid computing system 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 which lead to the resources having high workload or the time taken to process a job is high.This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system.The algorithm consists of three new mechanisms that organize the work of an ant colony i.e. initial pheromone value mechanism, resource selection mechanism and pheromone update mechanism.The resource allocation problem is modeled as a graph that can be used by the ant to deliver its pheromone.This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid resource management element.The proposed EACO algorithm takes into consideration the capacity of resources and the characteristics of jobs in determining the best resource to process a job.EACO selects the resources based on the pheromone value on each resource which is recorded in a matrix form.The initial pheromone value of each resource for each job is calculated based on the estimated transmission time and execution time of a given job. …”
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Monograph