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Titlebook: Swarm, Evolutionary, and Memetic Computing; 6th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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31#
發(fā)表于 2025-3-27 00:27:36 | 只看該作者
Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Int Feedback mechanism. The efficiency of the proposed method has been evaluated by using a huge data base by employing multiple features and integrating with Relevance feedback approach. Correspondingly, the Recall Rate has been enormously enhanced and Error Rate has been reduced as compared to the existing classical retrieval methods.
32#
發(fā)表于 2025-3-27 04:41:05 | 只看該作者
An Improved Quantum Inspired Immune Clone Optimization Algorithm,e. The proposed algorithm is tested on few benchmark optimization functions and the results are compared with other existing algorithms. The simulation results show that the proposed algorithm has better convergence, robustness and precision.
33#
發(fā)表于 2025-3-27 05:23:03 | 只看該作者
Particle Swarm Optimization for the Deployment of Directional Sensors,ered in the region. The main aim is to identify the optimal/near optimal deployment locations of the directional sensor nodes such that the coverage is maximized. We use Particle Swarm Optimization (PSO) algorithm to compute the deployment locations of the nodes. The experimental results reveal that PSO is a promising method to solve this problem.
34#
發(fā)表于 2025-3-27 11:07:33 | 只看該作者
35#
發(fā)表于 2025-3-27 17:41:41 | 只看該作者
36#
發(fā)表于 2025-3-27 18:33:50 | 只看該作者
37#
發(fā)表于 2025-3-27 22:46:30 | 只看該作者
Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Paelection, crossover and mutation strategies. The analytical hierarchy process (AHP) is used to conceptualize complex problems. The recently developed Cohort Intelligence (CI) algorithm models behavior of individuals within the group. The research for recommending an ice cream to a diabetic patient w
38#
發(fā)表于 2025-3-28 04:39:06 | 只看該作者
39#
發(fā)表于 2025-3-28 08:46:43 | 只看該作者
40#
發(fā)表于 2025-3-28 10:32:13 | 只看該作者
Development of Back Propagation Neural Network (BPNN) Model to Predict Combustion Parameters of Diext, control of design, as well as operating parameters for better performance are focused in the present work. Experiments are done on a 4-s, variable compression ratio (VCR) diesel engine and the required data is collected by varying fuel injection timing (IJT), compression ratio (CR), load and fue
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