Melody Feature Clustering and Optimization for Query-by-humming by WANG Ning, CHEN Chen, CHEN De-yun, HE Yong-jun

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New Variable Metric Algorithm by The Mean of 2nd Order Quasi-Newton Condition by Abbas Al-Bayati, Runak Abdullah

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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…This study introduces <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi><mi>M</mi><mi>A</mi></mrow></semantics></math></inline-formula>, a novel meta-level strategy that externally monitors MAs to detect stagnation and adaptively partitions computational resources. When stagnation occurs, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi><mi>M</mi><mi>A</mi></mrow></semantics></math></inline-formula> divides the optimization run into partitions, restarting the MA for each partition with function evaluations guided by solution history, enhancing efficiency without modifying the MA’s internal logic, unlike algorithm-specific stagnation controls. …”
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Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations by Ge Cao, Yifeng Dang, Shaoxiong Guo, Yan Liang, Rong Jia

“…Secondly, Leigh takes the minimization of the fluctuation volume and investment and operation cost of the supercapacitor energy storage system as the objective function and establishes the capacity allocation model of the supercapacitor energy storage system based on the power generation constraints and energy balance constraints of the supercapacitor energy storage system; Finally, the computational analysis was performed by actual area data, and the K-means algorithm was used to solve for grouping the data points into clusters, reconstructing each typical day and setting the maximum fluctuation limit. …”
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Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT by Sepehr Sharifi, Soulmaz Gheisari

“…In this study, after collecting and preparing data, the improved support vector machine with grasshopper optimization algorithm is used as a proposed method to detect anomaly-based intrusion in the Internet of Things. …”
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Optimizing the Design of TES Tanks for Thermal Energy Storage Applications Through an Integrated Biomimetic-Genetic Algorithm Approach by Nadiya Mehraj, Carles Mateu, Gabriel Zsembinszki, Luisa F. Cabeza

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Increased virtual resolution for sub-pixel displacement algorithm optimization in digital image correlation for AISI 1020 steel by Silmara M. Cardoso, Maurício M. Ribeiro, Douglas S. Silva, Raí Felipe P. Junio, Sergio N. Monteiro, Jean da S. Rodrigues

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Efficient Multi-Start Gray Wolf Optimization Algorithm for the Distributed Permutation Flowshop Scheduling Problem with Preventive Maintenance by Congcong Sun, Hongyan Sang, Leilei Meng, Biao Zhang, Tao Meng

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Reinforcement Learning-Driven Hunter-Prey Algorithm Applied to 3D Underwater Sensor Network Coverage Optimization by Zibo Huang, Fangxiu Wang, Chen Su, Yi Wang, Hui Liu

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A fuzzy based chicken swarm optimization algorithm for efficient fault node detection in Wireless Sensor Networks by B Nagarajan, Santhosh Kumar SVN, M Selvi, K Thangaramya

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Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization by Biao Zhang, Xingfu Cai, Guoqiang Li, Xiaomeng Li, Minjun Peng, Haowei Wang

“…The results show that the cumulative dose of the modified algorithm is comparable to the traditional A-star algorithm, but the average execution point is reduced by 53.06 % and the computation time is shortened by 24.23 %. …”
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GA-VAE: Enhancing Local Feature Representation in VQ-VAE Through Genetic Algorithm-Based Token Optimization by Jinghui Jiang, Dongjoon Kim, Bohyoung Kim, Yeong-Gil Shin

“…Our proposed Codebook Genetic Algorithm (CGA) selectively optimizes these underutilized tokens by applying genetic operations to enhance their representation capability while maintaining the well-learned features of frequently used tokens. …”
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Optimizing the neural network and iterated function system parameters for fractal approximation using a modified evolutionary algorithm by Sana Abdulla, K. Mahipal Reddy

“…In this study, we propose an evolutionary optimization strategy to enhance the accuracy and adaptability of RFC splines by optimizing their scaling factor and shape parameters using our novel Fractal Differential Evolution (FDE) algorithm. …”
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A compressed image encryption algorithm leveraging optimized 3D chaotic maps for secure image communication by Akshat Tiwari, Prachi Diwan, Tarun Dhar Diwan, Mahdal Miroslav, S. P. Samal

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CacheCraft: A Topology-Aware PageRank Centrality Algorithm for Cache Optimization in Named Data Networking by Ridha M. Negara, Nana R. Syambas, Eueung Mulyana, Rashid M. Fajri, Mochamad S. Budiana

“…Moreover, CacheCraft maintains algorithmic computational efficiency, making it suitable for real-world deployment in complex and dynamic NDN environments. …”
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Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

“…To address the performance limitations of Spiking Neural Networks (SNNs) caused by hyperparameter sensitivity, this study proposes an SNN model optimized by an Improved Cuckoo Search (ICS) algorithm (termed ICS-SNN). …”
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A pursuit-evasion game robot controller design based on a neural network with an improved optimization algorithm by Mustafa Wassef Hasan, Luay G. Ibrahim

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An improved sunflower optimization algorithm for cluster selection with secured data transmission using cryptographic techniques in WSNS-IoT by Yuvaraja M., Sureshkumar S., Joseph James S., Ishwarya Niranjana M.

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A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network by Lingping Kong, Jeng-Shyang Pan, Pei-Wei Tsai, Snasel Vaclav, Jiun-Huei Ho

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A Multi-Objective Nutcracker Optimization Algorithm Based on Cubic Chaotic Map for Numerical Association Rule Mining by Qiwei Hu, Shengbo Hu, Mengxia Liu

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