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1
Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…The results were shown that the framework is appropriate for the quantum algorithms and had been mathematically proven. Moreover, a quantum algorithm was designed to solve the shortest paths problem between the two points in a network. …”
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2
An experiment on the performance of shortest path algorithm
Published 2016“…The main objective of this paper is to study and experiment the different shortest path algorithm such as Dijkstra’s algorithm, Symmetrical Dijkstra’s algorithm, A* algorithm, Bellman-Ford algorithm, Floyd-Warshall algorithm and Genetic algorithm in solving the shortest path problem. …”
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3
A hybrid algorithm for finding shortest path in network routing.
Published 2009“…Classical algorithms have been used to search over some space for finding the shortest paths problem between two points in a network and a minimal weight spanning tree for routing. …”
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4
Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom
Published 2015“…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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5
Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem
Published 2023“…Good performance of these heuristics-based algorithm has been implied through various implementation in solving optimisation problems. …”
Article -
6
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…As a member of the NP Problem, an exact algorithm to solve the course scheduling problem is not available to date. …”
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7
Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…Nonetheless, the A • algorithm do have some unique properties which is more efficient in finding the shortest path especially in human real-world problem. …”
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8
Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique
Published 2006“…Scheduling of a multiple distributed servers is considered as a complex problem.considered as NP-complete problem,where no single efficient algorithm guaranteed to produce optimal results.This thesis investigates on how to find optimal solution for distribute system,by implementing market based scheduling Algorithm(MBSA).On implementing the MBSA, a new auction technique which is the least suitable sealed bid auction will be introduced.it is found that least suitable sealed bid technique will give the close-to-optimum solution.In the implementation, cooperative agents were used as a middleware between web servers and stand-alone schedulers. …”
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9
The Implementation of Genetic Algorithm in Path Optimization
Published 2005“…In this project, TSP will be used to model and easy visualize the path optimization problem and Genetic Algorithm (GA) was chosen to be implemented in resolving the problem. …”
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Final Year Project -
10
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…This work is focused on the implementation of evolutionary based computer algorithms, genetic algorithms (GAs), on microcontrollers. …”
Conference paper -
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…We have chosen four neighborhood based algorithms which are commonly used in optimization problems and divided them in newly implemented and re-implemented category. …”
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12
Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…Decision tree is an important method in data mining to solve the classification problems. There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
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13
Optimal path planning algorithm for swarm robots using bat algorithm with mutation (bam)
Published 2022“…The current research in robot navigation is to implement an obstacle avoidance algorithm to a single mobile robot to realize the path planning of a mobile robot. …”
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Undergraduates Project Papers -
14
Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…One of the prominent intelligent algorithms is ant colony system (ACS) which is implemented widely to solve various types of scheduling problems. …”
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15
Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…An Artificial Intelligence method or technique is selected to provide a solution to this problem. The cause of the shortage in supply-demand is taken to be implemented in the Genetic Algorithms optimization concepts. …”
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16
A hybrid architecture approach for quantum algorithms.
Published 2009“…Problem statement: In this study, a general plan of hybrid architecture for quantum algorithms is proposed. …”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
Published 2023“…The original ABC algorithm has a better exploration approach while the ARO algorithm has a better exploitation strategy when approaching the optimum value. …”
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18
Load flow method using genetic algorithm
Published 2003“…This paper presents the implemention of the simple genetic algorithm and constrained genetic algorithm to solve the load flow problem. …”
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19
A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali
Published 2012“…This study describes three algorithms for efficient implementations in Elliptic Curve Cryptography (ECC). …”
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Thesis -
20
Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…In computational grid, job scheduling is one of the main factors affecting grid computing performance. 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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