Results 71 to 80 of about 79,553 (259)
Chemical Engineering Transactions, 2018 Exploring structure of parameter prediction model for signal reconstruction fluctuating operation state of chemical machinery equipment based on ant colony algorithm, and optimizing the global performance.
Yuanshao Hou
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Improved Optimization Algorithm of Ant Colony [PDF]
Proceedings of the 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016), 2016 The mechanisms and basic principles about ant colony algorithm is researched, and in system point of view such characteristics as positive feedback, self-organizing systems, and distributed computing of the ant colony algorithm are analyzed. Analysis, verify and classify improved optimization algorithm of ant colony in detail by TSP-Ei151 in MATLAB 7.6;
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Italian National Conference on Sensors, 2020 Planning an optimal path for a mobile robot is a complicated problem as it allows the mobile robots to navigate autonomously by following the safest and shortest path between starting and goal points. The present work deals with the design of intelligent
Fatin Hassan Ajeil +3 more
semanticscholar +1 more source
Deep Underground Science and Engineering, EarlyView.A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
A Hybrid Ant Colony Optimization Algorithm to Solve Assignment Problem by Hungarian Method [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 This research studied ant colony optimization with optimization problem as an assignment model problem by Hungarian method. The proposed heuristic algorithm simulate ant colony optimization algorithm with Hungarian method for Assignment problem.
Isra Alkallak
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ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang +11 more
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Optimization of Sightseeing Paths in Tourism Park Based on Improved Ant Colony Algorithm
Kongzhi Yu Xinxi JishuThe intelligent navigation system of tourism parks typically functions to recommend diverse sightseeing paths for tourists of different age groups, comprehensively considering factors such as path distances and the geographical location of all the scenic
LIANG Jianheng
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GRID SCHEDULING USING ENHANCED ANT COLONY ALGORITHM [PDF]
ICTACT Journal on Soft Computing, 2010 Grid computing is a high performance computing used to solve larger scale computational demands. Task scheduling is a major issue in grid computing systems. Scheduling of tasks is the NP hard problem.
P. Mathiyalagan +2 more
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Advances in Mechanical Engineering, 2017 Different optimization algorithms are used in fast medicine dispensing system to improve the efficiency of refilling. To achieve rapid replenishing of the manipulator and improve efficiency in pharmacy automation system.
Hui Jin +4 more
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Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
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