Search Results - (( developing agent generation 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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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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Agent-based extraction algorithm for computational problem solving
Published 2015“…Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. …”
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Nonlinear convergence algorithm: structural properties with doubly stochastic quadratic operators for multi-agent systems
Published 2018“…We develop two algorithms: 1) the nonlinear algorithm of extreme doubly stochastic quadratic operator (NLAEDSQO) to generate all the convergent EDSQOs and 2) the nonlinear convergence algorithm (NLCA) of EDSQOs to investigate the optimal consensus for MAS. …”
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Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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Multi agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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Adaptive genetic algorithm to improve negotiation process by agents e-commerce
Published 2011“…This contribution is made in order to tackle the local optimum offers and heightening the risky attitude of agents. Second contribution is made by applying an improved genetic algorithm in offer generation mechanism and producing high quality, mutually acceptable offers. …”
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Fuzzy- logic multi-agent system for solving course time tabling problems
Published 2020“…This research presents a framework which integrates fuzzy logic and multi-agent system to generate feasible course timetable. …”
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Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman
Published 2013“…The developed technique was tested on the 10 generating units test system then up to 20 generating units in a 24-hours scheduling period and the results was compared with the basic EP, Evolutionary Programming with Priority Listing (EP-PL) and Multi-agent Evolutionary Programming (MAEP) optimisation techniques. …”
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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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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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Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List
Published 2023“…The search process is refined using heuristic EP-based algorithm with multi-agent approach to produce the final solution. …”
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Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…Swarm intelligence can be described as a complex behaviour generated from a large number of individual agents, where each agent follows very simple rules. …”
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Enhanced multi-agent approaches for efficient evacuation and rescue operations in managing disasters
Published 2025“…Building on the proposed algorithm and approaches, Agent-Based Simulation (ABS) models were developed to evaluate both evacuation and rescue operations in Al-Aqsa Mosque (AM) scenarios in Palestine. …”
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The application of neural networks and min-max algorithm in digital congkak
Published 2013“…To make it intelligent, its player agent was developed using a combination of Neural Networks and Min-Max algorithm. …”
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Extreme Learning Machine neural networks for multi-agent system in power generation
Published 2023“…It contains two layers of ELMs, i.e., individual agent layer and parent agent layer. Several activation functions using benchmark datasets and real-world applications, i.e., satellite image, image segmentation, fault diagnosis in power generation (including circulating water systems as well as GAST governor) were used to test the ELM-MAS developed. …”
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…Energy is considered a prime agent in the generation of wealth and also a significant factor in economic development. …”
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Enhancements could also be done to eGSA by exploring the possibility to hybrid the algorithm with other well-known meta heuristic algorithms.…”
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