Showing 41 - 60 results of 2,650 for search '(article OR partial) swarm optimization algorithm', query time: 0.17s Refine Results
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    The swarm intelligence algorithms and their application for the educational data analysis by Y. Yu. Dyulicheva

    Published 2019-11-01
    “…The review of the modern articles on the educational data analysis based on swarm intelligence algorithms is provided; the approaches to solving problem of the optimal learning path construction (optimal organization of the learning objects) based on the algorithm and its modifications taking into account the students’ performance in the process of the optimal learning path construction are investigated; the application of particle swarm optimization and its modification based on Roccio algorithm for the reduction of curse dimension in the problem of the auto classifying questions; the application of ant algorithm, bee colony algorithm and bat algorithm for recommender system construction are studied; the prediction of students’ performance based on particle swarm optimization is researched in the article. …”
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    Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning by Xiao-bo SHI, Yin ZHANG, Shan ZHAO, Deng-ming XIAO

    Published 2016-06-01
    “…Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime.…”
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    Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods by Aleksei Nikolashkin, Nikolay Ershov

    Published 2025-04-01
    “…The article is devoted to a review of software tools that allow applying, developing and investigating evolutionary and swarm optimization methods for solving complex discrete and continuous optimization problems. …”
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