A multi-objective optimized OLSR routing protocol. by Wenhong Wei, Huijia Wu, Ying He, Qingxia Li

“…In order to solve the problem that the better node set may not be selected when selecting the node set responsible for forwarding in the traditional OLSR protocol, a multi-objective optimized OLSR algorithm is proposed in this paper, which incorporating a new MPR mechanism and an improved NSGA-II algorithm. …”
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Object Query Computing Optimization in the Dynamic Information Model DIM by V. S. Roublev

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Multi‐Objective Optimization of the Food‐Energy‐Water Nexus Problem: A Review of the Key Concepts and Emerging Opportunities in Objective Functions, Decision Variables, and Optimiz... by Isaac Okola, Elisha Opiyo Omulo, Daniel Orwa Ochieng, Gilbert Ouma

“…The major components explored in this review include the objective functions, decision variables, and optimization techniques within MOAs. …”
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Optimizing Sensor Locations in a Multisensor Single-Object Tracking System by Jasmine Cashbaugh, Christopher Kitts

“…Tracking a mobile object presents many challenges, especially when the tracked object is autonomous or semiautonomous and may move unpredictably. …”
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Comparison of algorithms for multi-objective optimization of radio technical device characteristics by A. V. Smirnov

“…Objectives. The selection of a method for solving multi-objective optimization problems has many practical applications in diverse fields. …”
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Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization by Li Kang, Chuanghong Zhao, Jianjun Huang

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

“…This study presents a multi-objective optimization approach for determining optimal aisle widths in underground parking facilities, balancing vehicle maneuverability against parking capacity. …”
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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

“…As a result, MOCRY2arc may be a useful tool for handling challenging multi-objective structure optimization issues.…”
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Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties by Éva Kenyeres, Alex Kummer, János Abonyi

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Preference-based expensive multi-objective optimization without using an ideal point by Peipei Zhao, Liping Wang, Qicang Qiu

“…Since the search process of preference-based approaches is always biased towards the region of interest (ROI), it is highly challenging to estimate the ideal point in preference-based expensive multi-objective optimization. Incorrect estimation of the ideal point may lead to the search direction being far away from the ROI and also result in normalization errors for each objective. …”
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Adaptive component crossover for differential evolution in solving single-objective optimization problems by Sopov Anton, Sopov Evgenii

“…With the increase of the complexity of engineering problems, evolutionary algorithms became an effective approach to black-box optimization problems. One of the most popular and promising evolutionary methods is the Differential Evolution algorithms. …”
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Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…In such cases, the default anchor parameters may not fully meet the requirements of these specialized objects. …”
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On improvements of multi-objective branch and bound by Julius Bauß, Sophie N. Parragh, Michael Stiglmayr

“…Branch and bound methods which are based on the principle “divide and conquer” are a well established solution approach in single-objective integer programming. In multi-objective optimization, branch and bound algorithms are increasingly attracting interest. …”
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Research on Multi-Objective Optimization of Helical Gear Shaping Based on an Improved Genetic Algorithm by Shengmao Zhou, Dehai Zhang

“…This study attempts to overcome these limitations through a multi-objective optimization method and achieve the comprehensive optimization of multiple performance indicators. …”
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An Adaptive Optimization Method for Acoustic Temperature Measurement Topology Based on Multiple Sub-Objectives by Jialiang Zhu, Xinzhi Zhou, Hailin Wang, Yixiao Chen, Tao Xu, Zhengxi He

“…The method further improves the reconstruction of asymmetric complex temperature fields by constructing a new optimization variable and a new optimization objective. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

“…Therefore effective management of groundwater resources often involves some form of multi‐objective optimization (MOO). Many existing software tools offer simulation model‐enabled optimization, including evolutionary algorithms, for solving MOO problems. …”
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AIRCRAFT POWER SUPPLY SYSTEM DESIGN PROCESS AS AN AUTOMATION OBJECT by B. V. Zhmurov

“…Under the object of optimization in this case we mean the design process of the EPS, the formalization of which includes formalization and the design object – the aircraft power supply system.…”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…Optimization can efficiently achieve various objective functions in power systems. …”
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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

“…Our results suggest that human-like face pareidolia may emerge from the visual system's optimization for face identification within the context of generalized object categorization.…”
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Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance by Jumabek Alikhanov, Dilshod Obidov, Mirsaid Abdurasulov, Hakil Kim

“…In contrast, those who are unaware of these optimizations may only achieve a HOTA score of 10%. This finding underscores the critical advantage offered by our evaluation method. …”
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