Search Results - (( basic selection path algorithm ) OR ( java swarm optimization algorithm ))
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1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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3
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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4
Integration of enchanced jump point search (JPS) algorithm with modified bresenham technique for path planning in virtual grid-based environment
Published 2018“…Jump Point Search is one of the path finding algorithm with huge advantage of maintaining zero memory overhead as no preprocessing process involved. …”
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5
Scheduling of batch process plant / Abdul Aziz Abu Bakar
Published 1995“…This research work is devoted to software development of scheduling and control algorithm of batch process plant using shortest path method developed by Dijkstra and K* shortest path method developed by Jin Y. …”
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Student Project -
6
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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7
Network analysis for GPS UTMnav system: preliminary stage
Published 2008“…Each algorithm was reviewed and a simulation test was conducted to evaluate the selected algorithms. …”
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IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017“…Selected basic behaviour-based algorithms such as wallfollower, obstacle avoidance, escape route and target detection are to be combined and its efficiency is measured. …”
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Final Year Project -
9
MOTION TARGET TRACKING OF MOBILE ROBOTS
Published 2015“…The main hardware and has been tested with basic programs based on the algorithms of the said methods. …”
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10
Mitigating malicious nodes using trust and reputation based model in wireless sensor networks
Published 2018“…In order to achieve this, different sets of trust information including QoS, OSNs and ant colony system (ACS) algorithm are proposed to improve the selection of trustworthy node. …”
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11
A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
Published 2013“…This survey paper is focused on the discussion of best optimal path routing algorithms in wireless sensor networks by using supervised machine learning approaches. …”
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Conference or Workshop Item -
12
Enhanced Mobility Solution In Mobile Ipv6 Network
Published 2008“…A framework based on policy based routing protocol was proposed for handling both the inbound and the outbound traffic on a mobile network, under specified policies which consider packet characteristics, current network situation and user preferences. The interface selection algorithm was based on NEMO implementation structure using a technique of mutihoming which was extended to MIPv6 concepts The outcome of this research work are: a designed policy protocol for policy messages communication between the Mobile Router and the Home Agent, the framework is simulated using Network Simulator (NS2) with an extension of mobiwan, the result shows the end to end delay, average end to end delay, overhead, optimal routing path, average inter-packet latency and throughput of the developed system. …”
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