Search Results - (( developing agent control algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Article -
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Three-dimensional coverage control for multi-unmanned aerial vehicle
Published 2024“…This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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Final Year Project / Dissertation / Thesis -
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Multi-Agent Reinforcement Learning For Swarm Robots Formation
Published 2021“…The reinforcement learning algorithm offers one of the most general frameworks in learning subjects to address some of the control issues in a multi-agent system. …”
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Monograph -
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Decentralized traffic signal control for grid traffic network using genetic algorithm
Published 2019“…Each intersection is integrated with a GA based signal controller or known as agent to form a multi-agent system. …”
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Proceedings -
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Cohesive token passing algorithm utilizing software agents
Published 2010“…The developed software agent is utilized to implement prioritized token access subject to the traffic type. …”
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Article -
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Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
Published 2014“…Two agents are developed based on fuzzy parameters of Monte Carlo i.e. current with its means and variances; the other agent is the probability of outage capacity for each state. …”
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Conference or Workshop Item -
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Development of gene motif modulation for information processing in artificial DNA computing
Published 2014“…In the artificial DNA computing model, the MAS (Multi-Agent System) algorithm depicts the sender agent transmits moleware information through the control agent which is then converted to binary data as input to the receiver agent. …”
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Proceeding Paper -
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Iteration strategy and ts effect towards the performance of population based metaheuristics
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Conference or Workshop Item -
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A microscopic swarm model simulation and fractal approach towards swarm agent behaviour
Published 2006“…The model represents detailed interaction of agents to control their movement in any agent arena. …”
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Article -
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Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems
Published 2024“…Moreover, the Nonlinear Sine Cosine Algorithm-Safe Experimentation Dynamic (NSCA-SED) introduces a hybridization of multi-agent and single-agent algorithms, presenting a dynamic approach with random perturbation to navigate search trajectories effectively, and release design parameters that might be trapped in local optima. …”
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Thesis -
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A study on multi-agent systems for stable matching
Published 2015“…The focal point of investigation in MAS has not only surrounded on the development of the control algorithms, but nowadays covers on the practically to use MAS as one of the problem solvers in the other fields of studies.…”
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Thesis -
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…Each agent has the autonomy in controlling their local intersection which are coordinated by a superior agent that has superiority in overwriting the local control decision if conflict occurs. …”
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Thesis -
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
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Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems
Published 2024“…CTT can use small values for parameters P(0), Q, and R, so CKF was developed to overcome KF and other estimation algorithms. …”
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Article -
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Intelligent multi-objective control and management for smart energy efficient buildings
Published 2016“…In this study, multi-agent control system has been developed in combination with stochastic intelligent optimization. …”
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Intelligent multi-objective control and management for smart energy efficient buildings
Published 2016“…In this study, multi-agent control system has been developed in combination with stochastic intelligent optimization. …”
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Improved smoothed functional algorithmsoptimized pid controller for efficient speed regulation of wind turbines
Published 2025“…This study introduces a novel approach for PID controller tuning in wind turbine systems using single-agent optimization methods, specifically the memory smoothed functional algorithm (MSFA) and norm-limited smoothed functional algorithm (NL-SFA). …”
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Reinforcement learning-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage traning
Published 2022“…Fourth, an enhancement of the rewarding function by including piecewise decomposition was used to enable more stable learning behaviour of the policy and move out from the linear reward to the achievement formula. Fifth, a novel agent selection algorithm was developed to enable the selection of the best agent and avoid under-fitting and over-fitting. …”
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Thesis
