A quasi-opposition learning and chaos local search based on walrus optimization for global optimization problems by Yier Li, Lei Li, Zhengpu Lian, Kang Zhou, Yuchen Dai

“…To this end, the study proposes a novel WO enhanced by quasi-oppositional-based learning and chaotic local search mechanisms, called QOCWO. The study aims to prevent premature convergence to local optima and enhance the diversity of the population by integrating the quasi-oppositional-based learning mechanism into the original Walrus Optimization (WO) algorithm, thereby improving the global search capability and expanding the search range. …”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…The particle swarm optimization algorithm is employed for this purpose, with the Oxford PD dataset serving as the source data for training and validation. …”
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Research on Multi-Center Path Optimization for Emergency Events Based on an Improved Particle Swarm Optimization Algorithm by Zeyu Zou, Hui Zeng, Xiaodong Zheng, Junming Chen

“…To address these issues, this study proposes a two-stage optimization model aimed at ensuring the equitable distribution of disaster relief materials across multiple distribution centers. …”
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Optimal Transmission Switching for Congestion Management and Cost Reduction Using Linearized AC Optimal Power Flow by Mohammad Habibi, Ali Zangeneh

“…The proposed model is solved using mixed-integer linear programming (MILP), which accurately determines the opening or closing status of transmission lines and the number of lines that should be opened to reduce the generation and congestion costs in the network. To this aim, a linear programming and piecewise approximation, along with Taylor’s series approximation method, is used to linearize the generation cost function, and AC optimal power flow equations. …”
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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

“…An optimized solution has been obtained for a standard IEEE 69-bus radial DPN and the optimized simulation result of HPO has been compared with other optimization algorithms with the aim of assessing its effectiveness. …”
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GINSER: Geographic Information System Based Optimal Route Recommendation via Optimized Faster R-CNN by S. D. Anitha Selvasofia, B. SivaSankari, R. Dinesh, N. Muthukumaran

“…These systems often fail to integrate accident-prone zone detection with traffic congestion management and cannot provide a real time congestion-free route. This research aims to address these challenges by developing a geographic information system (GIS)-based optimal route recommendation model GINSER using advanced deep learning techniques. …”
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An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…This method builds upon the original Fruit Fly Optimization Algorithm (FOA) by incorporating a random spare mechanism and a dual adaptive weighting scheme, aiming to achieve a more effective balance between exploration and exploitation during the search process. …”
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Light Wight Optimization of Tramcar Body by DUAN Huadong, JIANG Zhongcheng, LIU Yani

“…Aiming at the light weight case of tramcar body, the flow of vehicle body light weight scheme was proposed, which determined the optimization variables through DOE calculation and sensitivity analysis, and explored the design space of optimization variables, providing a reference basis for vehicle body improvement. …”
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Optimal Contracts for Agents with Adverse Selection by Chao Li, Zhijian Qiu

“…With these models, we investigate the characters that make an optimal contract as well as the conditions under which the utility of a principal and agents can be optimized. …”
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OPTIMIZATION OF THE PRESCRIPTION OF FOODS FOR PREVENTIVE NUTRITION by Tatiana Victorovna Shchedrina, Vladimir Vsevolodovich Sadovoy, Irina Alexandrovna Trubina

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THE ROLE OF FAITH AND OPTIMISM IN COPING WITH STRESS by PetarValkov, Teodora Stoeva

“…However, certain distinction exists between faith and optimism. Aims and objectives: To examine the nature of faith and optimism and to discuss their role in coping with stress and critical life events. …”
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NCREASING ECONOMIC PERFORMANCES USING OPTIMIZATION by Daniela-Elena ȘURCĂ

“…The present paper aimed to evaluate an agricultural holding, based on technical and economic analyzes for the period 2015-2019, whose resources and activities related to the last year were optimized. …”
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Optimization of the Educational Expenses in the Municipal Districts by E. V. Orlov, A. A. Brut-Brulyako

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OPTIMIZATION OF DIAGNOSTIC IMAGING IN BREAST CANCER by S. A. Velichko, Yu. I. Tyukalov, I. G. Frolova, D. G. Bukharin, Ye. Ye. Bober

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Framework for Optimizing the Operation and Maintenance of Bridges by Areej AlBanwan

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Optimizing the technique of laparoscopic splenectomy in children by Józef Dzielicki, Andrzej Grabowski, Wojciech Korlacki

“…During the past 15 years,laparoscopic splenectomy has become a gold standard in many centres.Aim: To establish an optimal surgical technique of laparoscopic splenectomy according to our own experience andconcerning clinical and economic aspects.Material and methods: In 1996-2007, 77 laparoscopic splenectomies were carried out in our department. …”
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OPTIMIZATION OF VELOCITY CHARACTERISTICS OF THE YURCHENKO VAULT by Petr Hedbávný, Miriam Kalichová

“…Despite the variety, the obtained results were used to determine the optimal course of these velocity parameters, which serves as a precondition of the correct technical execution of the Yurchenko vault. …”
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Optimal feature encoding in early vision by Serena Castellotti, Giacomo Mazzotta, Alessandro Benedetto, Maria Michela Del Viva

“…This study aims to identify a possible neural marker of this prioritizing mechanism. …”
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Optimization of the Predicting of the Influenza Vaccine Strains by E. P. Kharchenko

“…The cause is flu variability.Aim is to develop a new computational method for predicting an optimal hemagglutinin (HA) structure in H1N1 and H3N2 human influenza vaccine strains for coming epidemic seasons and to compare its results with WHO recommendations.Materials and method. …”
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Electrophysiological evidence for the optimal tuning of attention by Dirk Kerzel

“…Abstract Optimal tuning of attention refers to shifts in goal-driven attention that increase the difference between the representation of the target and nontarget features. …”
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