Optimization of the Educational Expenses in the Municipal Districts by E. V. Orlov, A. A. Brut-Brulyako

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Optimization Problems with Averaging over the Variables by Anatoly M. Tsirlin

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Optimization hardness constrains ecological transients. by William Gilpin

“…Living systems operate far from equilibrium, yet few general frameworks provide global bounds on biological transients. …”
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Quantum computation for robot posture optimization by Takuya Otani, Atsuo Takanishi, Nobuyuki Hara, Yutaka Takita, Koichi Kimura

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An Optimality-Theoretic Study of Nasalization in Mbaise by Mayowa Emmanuel Oyinloye, Chinedu Nwadinobi Anyanwu

“… Within the ambit of Optimality Theory, this paper examined the phonological distribution of nasalized consonants and nasalized vowels in the Mbaise dialect of Igbo (spoken in Nigeria) with a view to identifying the relevant constraint hierarchies controlling their surface realization. …”
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Computational optimization of associative learning experiments. by Filip Melinscak, Dominik R Bach

“…With computational biology striving to provide more accurate theoretical accounts of biological systems, use of increasingly complex computational models seems inevitable. …”
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Optimization of an Operative Period at Radical Mastectomies by V. Yu. Vasilyev, Ye. M. Levite, A. M Gordova, G. R. Kaziyev

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An optimized LSTM-based deep learning model for anomaly network intrusion detection by Nitu Dash, Sujata Chakravarty, Amiya Kumar Rath, Nimay Chandra Giri, Kareem M. AboRas, N. Gowtham

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Parameter Adaptive Manta Ray Foraging Optimization for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Yongxuan Yao, Mingxin Zhu, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

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An Extensive Study Using the Beetle Swarm Method to Optimize Single and Multiple Objectives of Various Optimal Power Flow Problems by K. Sriram, S. P. Mangaiyarkarasi, S. Sakthivel, L. Jebaraj

“…An electric energy generation system, under the economic operation mode, is an imperative mission in the power system function. …”
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Multi-layer perceptron-particle swarm optimization: A lightweight optimization algorithm for the model predictive control local planner by Xiaoqing Guan, Tao Hu, Ziang Zhang, Yixu Wang, Yifan Liu, You Wang, Jie Hao, Guang Li

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Progressive Conditional Generative Adversarial Network Optimized with Archimedes Optimization Algorithm Fostered Inheritance and Innovation of Huizhou Carving Culture by Dianmei Geng

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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Muhammad Shafiqul Islam, Mohd Ashraf Ahmad

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Modified hybrid particle swarm optimization: multivariate calibration of water supply networks by Hugo Augusto Marinho Moreira, Juan Moises Mauricio Villanueva, Heber Pimentel Gomes

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A novel hysteresis power point optimizer for distributed solar power generation by Veligorskyi Oleksandr, Husev Oleksandr, Shevchenko Viktor, Tytelmaier Kostiantyn, Yershov Roman, Kosenko Roman, Vinnikov Dmitri

“…This paper proposes a new photovoltaic panel maximum-power-point optimizer based on a buck converter. It can be connected to the DC-link distributed energy harvesting system that should perform the true maximum-power-point tracking algorithm based on maintaining a constant DC link voltage. …”
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Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems by Heng Liu, Jingtao Zhao, Zhi Wu, Shu Zheng

“…This optimization method reduces the frequency variation rate in both regions and maintains relative stability between the regions, thereby enhancing the system’s disturbance rejection capability. …”
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Hypervolume-Based Multi-Objective Optimization Method Applying Deep Reinforcement Learning to the Optimization of Turbine Blade Shape by Kazuo Yonekura, Ryusei Yamada, Shun Ogawa, Katsuyuki Suzuki

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Efficiency-optimized 6G: A virtual network resource orchestration strategy by enhanced particle swarm optimization by Sai Zou, Junrui Wu, Haisheng Yu, Wenyong Wang, Lisheng Huang, Wei Ni, Yan Liu

“…The future Sixth-Generation (6G) wireless systems are expected to encounter emerging services with diverse requirements. …”
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Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization by Chi Zeng, Jialing Li, Abbas Habibi

“…This study introduces an innovative approach that merges deep learning with metaheuristic algorithms to boost the efficiency of SER systems. Specifically, a stacked autoencoder (SAE) serves as the primary model, and its performance is fine-tuned using a nature-inspired hybrid algorithm that combines particle swarm optimization (PSO) with Grass Fibrous Root Optimization (GFRO). …”
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BETAV: A Unified BEV-Transformer and Bézier Optimization Framework for Jointly Optimized End-to-End Autonomous Driving by Rui Zhao, Ziguo Chen, Yuze Fan, Fei Gao, Yuzhuo Men

“…This paper proposes BETAV, a novel framework that addresses the persistent challenges of low 3D perception accuracy and suboptimal trajectory smoothness in autonomous driving systems through unified BEV-Transformer encoding and Bézier-optimized planning. …”
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