A Multi-Objective Approach for Optimizing Aisle Widths in Underground Parking by Igor Kabashkin, Alua Kulmurzina, Assel Zhandarbekova, Zura Sansyzbayeva, Timur Sultanov

“…Through systematic testing of aisle widths ranging from 4.5 to 6.0 m across various vehicle types, the study identifies 5.0–5.5 m as the optimal range that maximizes both objectives for modern vehicle fleets. …”
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Structural optimization of different truss designs using two archive multi objective crystal structure optimization algorithm by Pranav Mehta, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Moreover, the Friedman rank test and comparison analysis showed that MOCRY2arc performed better at resolving big structure optimization issues in a shorter amount of computing time. …”
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Optimizing the Electrode Geometry of an In-Plane Unimorph Piezoelectric Microactuator for Maximum Deflection by Parker Megginson, Jason Clark, Ryan Clarson

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Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends by Juliana Castaneda, Elnaz Ghorbani, Majsa Ammouriova, Javier Panadero, Angel A. Juan

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Optimizing Power Forecasting Models with Customized Features for Academic and Industrial Buildings by David Cabezuelo, Izar Lopez-Ramirez, June Urkizu, Ander Goikoetxea

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Optimizing Aircraft Routes in Dynamic Conditions Utilizing Multi-Criteria Parameters by Oleh Sydorenko, Nataliia Lysa, Liubomyr Sikora, Roman Martsyshyn, Yuliya Miyushkovych

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Optimizing Handover Parameters by Q-Learning for Heterogeneous Radio-Optical Networks by Sihua Shao, Guanxiong Liu, Abdallah Khreishah, Moussa Ayyash, Hany Elgala, Thomas D. C. Little, Michael Rahaim

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Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms by Orken Mamyrbayev, Ainur Akhmediyarova, Dina Oralbekova, Janna Alimkulova, Zhibek Alibiyeva

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Optimizing OLAP Cube for Supporting Business Intelligence and Forecasting in Banking Sector by Sonali Mathur, Shankar Lal Gupta, Payal Pahwa

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Quijote-PNG: Optimizing the Summary Statistics to Measure Primordial Non-Gaussianity by Gabriel Jung, Andrea Ravenni, Michele Liguori, Marco Baldi, William R. Coulton, Francisco Villaescusa-Navarro, Benjamin D. Wandelt

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Optimizing a Hydrogen and Methane Blending System Through Design and Simulation by Ştefan Ionuţ Spiridon, Bogdan Florian Monea, Eusebiu Ilarian Ionete

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Optimizing Data Classification in Support Vector Machines Using Metaheuristic Algorithms by Qonita Ilmi Awalin, Ika Hesti Agustin, Alfian Futuhul Hadi, Dafik Dafik, R. Sunder

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Optimizing the Production of LNG and NGL from Arab Crudes and Wet Gases by Adel M. Hemeida, Mohammed S. Al-Blehed, Saad El-Din Desouky

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Optimizing image capture for low-light widefield quantitative fluorescence microscopy by Zane Peterkovic, Avinash Upadhya, Christopher Perrella, Admir Bajraktarevic, Ramses E. Bautista Gonzalez, Megan Lim, Kylie R. Dunning, Kishan Dholakia

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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

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Optimizing Supply Chain Management to Reduce Food Waste and Loss in Agriculture by Hassan Muntather Muhsin, Hussein Abbas Hameed Abdul, Reddy V. Mallikarjuna

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Optimizing Supply Chain Management to Reduce Food Waste and Loss in Agriculture by Almusawi Muntather, Obaid Mohammed Kadhim, Hemalatha K.

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Optimizing the design of a pediatric blood pump through orthogonal experimentation by Kaiyun Gu, Kaiyue Yang, Changlong Zhao, Qiang Shu, Ru Lin

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Optimizing urban transportation network reliability by analyzing road traffic accidents by Isaac Pemberthy, Eduard Gañan-Cardenas

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Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization by Hang Fu, Qingyu Wang, Takuji Nakashima, Asahi Kawasaki, Chenguang Lai, Keigo Shimizu, Rahul Bale, Makoto Tsubokura

“…Compared to traditional parallel EGO system, the proposed method showed superior convergence speed, solution quality, and computational efficiency. Specifically, for airfoil and automotive aerodynamic optimization, when achieving the target performance improvements of 2.4% and 7.0%, the proposed system reduced the wall-clock time cost from 1.65h to 0.33h and from 203h to 14.5h, respectively, significantly improving optimization efficiency.…”
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