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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…However, the evaluation function used in the AI is developed based on historical traffic data. …”
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Thesis -
2
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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Development of a Negotiation Support Model for Value Management in Construction
Published 2009“…The research objectives are to find a theoretical basis and research approach for negotiation support methodology on VM, to develop a decision model for technical solution options in a satisfying function/cost preferences, to investigate negotiation style and outcome and analyze the correlation between them for the basis of scenarios on the agent system, to develop a model for agreement options and coalition algorithms on value-based decision, to validate the coalition algorithms and introduce an initial model of Negotiation Support for Value Management (NSVM). …”
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Final Year Project -
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Reinforcement learning-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage traning
Published 2022“…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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6
Estimation-based Metaheuristics: A New Branch of Computational Intelligence
Published 2016“…Besides biology, physics and chemistry, state estimation algorithm also has become a source of inspiration for developing metaheuristic algorithms. …”
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Conference or Workshop Item -
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Iteration strategy and ts effect towards the performance of population based metaheuristics
Published 2020“…The algorithms can be categorized based on number of agents, either single agent algorithms which are also known as single solution metaheuristics or multi agents algorithms, also known as population-based metaheuristics. …”
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Conference or Workshop Item -
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Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…Moreover, results indicate that agents equipped by this learning capability can generate Pareto-efficient offers by MGT algorithm. …”
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Thesis -
9
CSGO: a game-inspired metaheuristic algorithm for global optimization
Published 2023“…This paper presents a video game-inspired meta-heuristic algorithm and its performance evaluation. This optimizer algorithm is developed by assembling impressive features of previous well-known optimizer algorithms such as stochastic fractal search (SFS), artificial gorilla troops optimizer (GTO) and marine predators algorithm (MPA) with addition of chaotic operators. …”
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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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Article -
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A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…The search agent of the primitive crow search algorithm does not always follow the best solution obtained so far. …”
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A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…The search agent of the primitive crow search algorithm does not always follow the best solution obtained so far. …”
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Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…In this thesis, a simple framework and methodology in developing a bio-inspired algorithm for cooperative swarming robotic application has been developed. …”
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Thesis -
14
Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
Published 2024“…The algorithms are assisted with penalty function method during the selection of new agents/ offsprings to confirm the generations that violated the constraints are superseded during the next generation selection. …”
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Article -
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Development of a Negotiation Support Model for Value Management in Construction
Published 2010“…The research objectives are to find a theoretical basis and research approach for negotiation support methodology on VM, to develop a decision model for technical solution options in a satisfying function/cost preferences, to investigate negotiation style and outcome and analyze the correlation between them for the basis of scenarios on the agent system, to develop a model for agreement options and coalition algorithms on value-based decision, to validate the coalition algorithms and introduce an initial model of Negotiation Support for Value Management (NSVM). …”
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Security framework based multi agent system architecture to facilitate data fetching from cloud data storage
Published 2012“…To simulate the agents, Oracle database packages and triggers are used to implement agent functions, and Oracle jobs are utilized to create agents. …”
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Designing and Developing an Intelligent Congkak
Published 2011“…Congkak is the nation's traditional game which could soon be forgotten if no serious attention is given to it, but literature survey has not yet found any research publication that mentioned the use of neural network algorithm (NN) on Congkak. Therefore the project want to try to rectify this issue by trying to develop an Intelligent Congkak System that also implemented NN and try answer research question such as this: “What is the best Congkak evaluation function for training NN for game playing?” …”
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Thesis -
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Intelligent agent for electronic commerce using neural network approach / Yap Hui Sun
Published 2001“…Chapter V - System Implementation and Testing, describing the system implementation of the development environment, development of webs, Prediction Agent and ActiveX component. …”
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Thesis -
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Adaptive genetic algorithm to improve negotiation process by agents e-commerce
Published 2011“…The proposed negotiation algorithm employs Bayesian learning and similarity functions in order to predict opponent agent’s type and preferences. …”
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Thesis -
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A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms
Published 2023“…Asynchronous Finite Impulse Response Optimizer (AFIRO) is a metaheuristic algorithm that has been developed as a population-based solution with an asynchronous update mechanism. …”
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