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Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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2
Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
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Thesis -
4
DACS3:Embedding Individual Ant Behavior in Ant Colony System
Published 2008“…Their ability as a colony, to find paths to food sources has inspired the development of algorithms known as Ant Colony Systems (ACS). …”
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5
DACS3: Embedding Malaysian Individual Ant Behavior in Ant Colony System
Published 2009“…Their ability as a colony, to find paths to food sources has inspired the development of algorithms known as Ant Colony Systems (ACS). …”
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Citation Index Journal -
6
An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…Ant colony system (ACS), a variant of ant colony optimization (ACO), is one of the promising algorithms for fault tolerance due to its ability to adapt to both static and dynamic combinatorial optimization problems. …”
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7
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. …”
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Monograph -
8
Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…A simulator called ExSim was developed to mimic the static and dynamic nature of the grid computing. …”
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9
FINDING SHORTEST PATH FOR DYNAMIC PUTTING PROBLEM USING ANT COLONY OPTIMISATION
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Final Year Project Report / IMRAD -
10
Improvement DACS3 Searching Performance using Local Search
Published 2009“…Past research has proposed a Dynamic Ant Colony System with Three Level Updates (DACS3) algorithm that embedding a Malaysian House Red Ant behavior into current ACS. …”
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11
Ant colony optimization for vehicle traffic systems: applications and challenges
Published 2014“…Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. …”
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Article -
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Embedding Malaysian House Red Ant Behavior into an Ant Colony System
Published 2008“…This study presents a model of Dynamic Ant Colony System with Three Level Update (DACS3) which developed by embedding such behavior into ACS. …”
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Citation Index Journal -
13
Reducing Iteration Using Candidate List
Published 2008“…Their ability as a colony to find paths or routes to the food sources has inspired a newly developed algorithm called Dynamic Ant Colony System 3 Level Updates (DACS3). …”
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14
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system. …”
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15
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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16
Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
Published 2021“…Therefore, two type of algorithms was used in this work for modelling development of flexible beam structure, which are ant colony optimization (ACO) and cuckoo search algorithm (CSA). …”
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17
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
18
Suitability Factor on the Capacitated Vehicle Routing Problem
Published 2010“…A new variant of algorithm called Dynamic Ant Colony System with Three Level Updates (DACS3) has been developed which focuses on adding individual ant behavior. …”
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19
A trust aware secure ant colony optimization based routing algorithm for Internet of Things
Published 2023“…For wireless sensor network (WSN) integrated dynamic IoT networks, this paper presents a trust-aware secure Ant colony optimization (ACO)-based routing algorithm to provide security while searching for an energy-efficient optimal routing path. …”
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Proceeding Paper -
20
Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm
Published 2019“…For the optimization, the robot will travel from one specific point to another with the predefined position within optimized gait and fastest time by using Ant Colony Optimization (ACO) technique. The algorithm being compared, between Ant Colony Algorithm (ACO) and the Particle Swarm Optimisation (PSO) in terms of time and distance. …”
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