Exploration of the Main Models and Optimization Paths for the Market-Oriented Operation of Urban Parks by Yanting LI, Qiaowan YANG

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APG mergence and topological potential optimization based heuristic user association strategy by Zhirui HU, Meihua BI, Fangmin XU, Meilin HE, Changliang ZHENG

“…The smaller the overlap rate threshold or the upper limit of APs associated with an AP,the more the network scalable degree increases and the greater the rate loss.…”
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An improved multi-objective particle swarm optimization algorithm for the design of foundation pit of rail transit upper cover project by Jinyan Shao, Yuan Lu, Yi Sun, Lei Zhao

“…Additionally, an acceleration factor based on trigonometric functions and an adaptive Gaussian mutation strategy are incorporated, improving the exploration ability of the particles in the search space and facilitating their movement towards the global optimal solution more effectively. The performance of the algorithm is verified using the multi-modal multi-objective benchmark function set provided by CEC2020, and comparisons are made with five advanced multi-objective metaheuristics. …”
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Expansion and Valuation of Naproxen Sodium Fast Dissolving Tablet by Shailesh B Patil, Jitendra D More

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La comparación jurídica en el estudio de las migraciones. En busca de un mayor equilibrio reflexivo || The role of comparative law in migration studies. Looking for a more reflecti... by Encarnación La Spina

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La comparación jurídica en el estudio de las migraciones. En busca de un mayor equilibrio reflexivo || The role of comparative law in migration studies. Looking for a more reflecti... by Encarnación La Spina

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Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems by Mahzabeen Emu, Taufiq Rahman, Salimur Choudhury, Kai Salomaa

“…Vehicle platooning, especially when dedicated to carrying goods, represents a forward-looking approach to optimizing logistics and freight transportation using autonomous vehicles. …”
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Development and research of the quadrupole mass spectrometry simulation model with the entire ion optics system by Lina Yang, Yuqing Gu, Hao Gong, Zi-long Liu, Xingchuang Xiong, Xiang Fang

“…The results showed that the ion transmission with the optimal voltage combination in the global optimization experiment increased by approximately 33% relative to the maximum ion transmission rate achieved in the staged optimization, indicating that global optimization can more comprehensively analyze the relationships between various voltage factors and significantly improve ion transmission efficiency. …”
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RRT-Based Optimizer: A Novel Metaheuristic Algorithm Based on Rapidly-Exploring Random Trees Algorithm by Guang-Jin Lai, Tao Li, Bao-Jun Shi

“…To evaluate its effectiveness, the RRTO is tested on 23 standard benchmark functions, the CEC2017 test suite, and six constrained optimization problems. In comparison with more than eight peer metaheuristic algorithms, RRTO achieves competitive results across diverse problems. …”
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Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network by Dongxian Yu, Di Wu, Chongyang Liao, Zaihui Cao, Somayeh Pouramini

“…Abstract The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. …”
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Rejection-Free Monte Carlo Simulation of QUBO and Lechner–Hauke–Zoller Optimization Problems by Yoshihiro Nambu

“…We showed its validity and advantage in obtaining globally optimal solution for quadratic unconstrained binary optimization (QUBO) and spin-glass problem embedded in the Lechner–Hauke–Zoller (LHZ) architecture. …”
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Revolutionizing Open-Pit Mining Fleet Management: Integrating Computer Vision and Multi-Objective Optimization for Real-Time Truck Dispatching by Kürşat Hasözdemir, Mert Meral, Muhammet Mustafa Kahraman

“…This study highlights the potential of advanced computer vision and optimization techniques to enhance fleet management in mining, leading to more cost-effective and data-driven decision-making.…”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…The findings are anticipated to provide practical insights for researchers and developers by presenting a case study grounded in best practices to support more effective algorithm design and informed decision-making in real-world optimization challenges.…”
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A Surrogate Piecewise Linear Loss Function for Contextual Stochastic Linear Programs in Transport by Qi Hong, Mo Jia, Xuecheng Tian, Zhiyuan Liu, Shuaian Wang

“…Rather than directly incorporating decision loss into the learning objective based on specific problem, PLLF serves as a general feedback mechanism that guides the prediction model based on the structure and sensitivity of the downstream optimization task. This design enables the training process to prioritize predictions that are more decision-relevant. …”
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FastSLAM-MO-PSO: A Robust Method for Simultaneous Localization and Mapping in Mobile Robots Navigating Unknown Environments by Xu Bian, Wanqiu Zhao, Ling Tang, Hong Zhao, Xuesong Mei

“…The results indicate that our MO-PSO-enhanced FastSLAM method outperforms the traditional particle filtering approach by significantly reducing particle degeneration and ensuring more reliable and precise SLAM performance in challenging environments. …”
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Shape Optimization of Frame Structures Through a Hybrid Two-Dimensional Analytical and Three-Dimensional Numerical Approach by Andrea Lopez, Christian Iandiorio, Daniele Milani, Pietro Salvini, Marco E. Biancolini

“…The results of the two-step optimization process are shown on simple geometries involving few elements, and on more complex geometries of mechanical interest.…”
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A novel approach to node coverage enhancement in wireless sensor networks using walrus optimization algorithm by V. Saravanan, Indhumathi G, Ramya Palaniappan, Narayanasamy P, M. Hema Kumar, K. Sreekanth, Navaneethan S

“…This research aims to design intelligent and adaptive sensor networks by integrating metaheuristics with node coverage optimization in WSNs. By incorporating metaheuristics and optimizing node coverage, WSNs can become more resilient and robust, leading to the development of self-adapting, self-organizing networks capable of efficiently covering dynamic and diverse environments. …”
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A review of mixed-integer linear formulations for framework-based energy system models by Maximilian Hoffmann, Bruno U. Schyska, Julian Bartels, Tristan Pelser, Johannes Behrens, Manuel Wetzel, Hans Christian Gils, Chuen-Fung Tang, Marius Tillmanns, Jan Stock, André Xhonneux, Leander Kotzur, Aaron Praktiknjo, Thomas Vogt, Patrick Jochem, Jochen Linßen, Jann M. Weinand, Detlef Stolten

“…Thereby, the number of open-source available optimization frameworks for energy system modeling has more than doubled in the last ten years, mainly driven by the uptake of energy transition and progress in computer-aided optimization.To go beyond a qualitative discussion, we also define the mathematical formulation for a mixed-integer optimization model comprising all the model features discussed in this work. …”
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Design of Multi-Objective Energy Management for Remote Communities Connected with an Optimal Hybrid Integrated Photovoltaic–Hydropower–Battery Energy Storage System (PV-HP-BESS) Us... by Chaimongkol Pengtem, Saksit Deeum, Amirullah, Hideaki Ohgaki, Sillawat Romphochai, Pimnapat Bhumkittipich, Krischonme Bhumkittipich

“…In this study, we used an improved particle swarm optimization (IPSO) technique to propose multi-objective energy management for remote area communities within a hybrid integrated Photovoltaic–(PV)–Hydropower plant (HPP)–Battery Energy Storage System (BESS). …”
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Study Protocol: Evaluating the Effectiveness of Variable Embryo Transfer Compared to Endometrial Receptivity Analysis in Improving Implantation and Pregnancy Outcomes in Patients w... by Tejaswini Wadhe, Akash More, Namrata Choudhary

“…Background: Infertility is an inability to achieve pregnancy after 12 or more months of unprotected sexual intercourse, with recurrent implantation failure being a major challenge in assisted reproductive techniques (ARTs). …”
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