The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing by Robin Kurtz, Marco Kuhlmann

“…We show how structural constraints can make networks trained under this loss function diverge and propose a modified loss function that solves this problem. …”
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Evaluating Image Quality Metrics as Loss Functions for Image Dehazing by Rareș Dobre-Baron, Adrian Savu-Jivanov, Cosmin Ancuți

“…These methods have been previously used solely for quality assessments and not as objectives in the training of neural networks for high-level vision tasks, despite the potential improvements that may come about by directly optimizing for desired metrics. This paper examines the adequacy of ten recent IQA metrics, compared with standard loss functions, within two trained dehazing neural networks, with observed broad improvement in their performance.…”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…This study proposes a reconfiguration optimization of the distribution system by adjusting the status of switches within the network. …”
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Methodology of optimal distribution of single-phase electric consumers in power supply systems by the criterion of reduction of additional losses caused by load asymmetry and non-s... by A. A. Pesterev, S. S. Kostinskiy, N. D. Narakidze

“…In the developed algorithm, the target function utilizes exponential loss values in the unbalanced mode over losses in the balanced mode, as well as additional losses due to higher harmonic components. …”
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The FATA algorithm is evaluated against recently developed and improved optimization techniques, such as rime-ice formation phenomenon based Improved RIME (IRIME) Algorithm, Newton–Raphson-Based Optimization (NRBO), Resistance Capacitance Algorithm (RCA), Krill Optimization Algorithm (KOA), and Grey Wolf Optimizer (GWO), across multiple optimization objectives: reduction in generation cost, reduction in power loss and combined generation cost plus power loss, termed as Gross cost function. …”
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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines by Lelisa Wogi, Amruth Thelkar, Tesfabirhan Shoga Tahiro, Tadele Ayana, Shabana Urooj, Samia Larguech

“…The motor designed is optimized using efficiency and power losses as the fitness function. …”
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Analysis of optimization of retention pond function and sediment deposit projection in flood control in Palembang City, South Sumatra, Indonesia by Erlianto Hona Saputra, Nurhayati Damiri, Momon Sodik Imanudin, Ngudiantoro Ngudiantoro

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Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm by P. Rajakumar, M. Senthil Kumar, K. Karunanithi, S. Vinoth John Prakash, P. Baburao, S. P. Raja

“…HPO optimizes solar photovoltaic (PV) and wind turbine (WT) DG systems to minimize multi-objective functions (MOFs) including active power loss (APL) and voltage deviation (VD), and to enhance voltage stability (VS). …”
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Optimal design of hollow conductor for high‐speed synchronous motor exploiting adaptive‐sampling radial basis function algorithm by Ruiye Li, Peng Cheng, Hai Lan

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Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System by Zahıra Aboumarıa, Selcuk Emiroglu

“…Results indicate that optimally sized and placed DGs operated with optimal power factors have reduced power losses by enhancing the voltage profile. …”
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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…Methods of multi-criteria and single-criteria optimization for finding the optimal values of electrical losses in an electromechanical system, methods for solving first-order differential equation systems, and analytical methods. …”
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Enhanced zebra optimization algorithm for sustainable combined economic and emission dispatch in power systems by Ahmed Arkwazee, Rana Abttan

“…We introduce an Improved Zebra Optimization Algorithm (IMZOA), an enhanced bio-inspired technique integrating advanced adaptive foraging and dynamic defense mechanisms, along with a cubic function for CEED modeling, to improve search efficiency and convergence. …”
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Multi-Objective Design and Optimization of Hardware-Friendly Grid-Based Sparse MIMO Arrays by Suleyman Gokhun Tanyer, Paul Dent, Murtaza Ali, Curtis Davis, Senthilkumar Rajagopal, Peter F. Driessen

“…Additionally, a set of performance metrics is introduced to evaluate virtual aperture effectiveness and beamwidth loss factors. The framework explores optimization strategies for the partial sharing of antenna elements, specifically tailored for multi-mode radar applications, utilizing the desirability function to enhance performance across various operational modes. …”
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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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Efficient Use of Variation in Evolutionary Optimization by John W. Pepper

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Optimal Planning of Wind-Based DG: A Two-Stage Approach Linking Penetration Factor, Turbine Type Selection, Capacity, and Power Factors to Minimize Line Losses by Sina Saboktakin, Tarek Medalel Masaud, Ehab F. El-Saadany

“…This paper proposes an optimization planning model for the optimal sizing and placement of wind distributed generators (DGs) aiming to minimize investment costs while reducing line losses. …”
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Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method by Lihong Zhai, Sijie Zhang, Jiyang Luo, Gang Huang, Zihan Liu

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Semantic embedding via joint loss function and composite contrastive learning by GAO Xiaoxin, LU Yao, KONG Xiangmao, LIU Yuxi, DENG Wei, YANG Songhao

“…The text was broken into segments, encoded to extract semantic content, aggregated to highlight relationships, and projected into a semantic space optimized for learning. Additionally, two supervised loss functions were designed, complementing the standard contrastive loss, to enhance the discriminability of the semantic space and thereby improve the model’s discrimination ability. …”
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Optimizing structured surfaces for diffractive waveguides by Yuntian Wang, Yuhang Li, Tianyi Gan, Kun Liao, Mona Jarrahi, Aydogan Ozcan

“…Abstract We introduce universal diffractive waveguide designs that can match the performance of conventional dielectric waveguides and achieve various functionalities. Optimized using deep learning, diffractive waveguides can be cascaded to form any desired length and are comprised of transmissive diffractive surfaces that permit the propagation of desired modes with low loss and high mode purity. …”
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Learning to rank quantum circuits for hardware-optimized performance enhancement by Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada, Michael Hush, Michael J. Biercuk, Yuval Baum

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