TRAJECTORIES OF DYNAMIC EQUILIBRIUM AND REPLICATOR DYNAMICS IN COORDINATION GAMES by Nikolay A. Krasovskii, Alexander M. Tarasyev

“…In optimal control problems and dynamic games, average integral payoffs are used to synthesize guaranteed strategies, which are involved, among other things, in the constructions of the dynamic Nash equilibrium. …”
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Optimization of Ticket Sales for Tehran Azadi stadium with the Approach of Simulating Queuing Systems and MCDM by Ali Jamshidi, Javad Shahlaee, Gholamali Kargar

“…The purpose of the present study was to optimize and improve the status of ticket sales at Tehran Azadi Stadium and reduce customer waiting times in queues using methods Simulation and Multi-criteria decision making (MCDM). …”
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Optimization complexity and resource minimization of emitter-based photonic graph state generation protocols by Evangelia Takou, Edwin Barnes, Sophia E. Economou

“…These patterns allow us to process large graphs and still achieve a reduction of up to 66% in emitter CNOTs, without relying on subtle metrics such as edge density. We find the optimal emission orderings and circuits to prepare unencoded and encoded repeater graph states of any size, achieving global minimization of emitter and CNOT resources despite the average NP-hardness of both optimization problems. …”
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Enhanced secretary bird optimization algorithm with multi-strategy fusion and Cauchy–Gaussian crossover by Xinle Wang, Peijun Wei, Yancang Li

“…Validation through four real-world engineering problems further confirms its superiority in constrained and discrete optimization scenarios, with objective function improvements reaching up to 91.3%. …”
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Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks by Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee

“…To address this challenge, we developed a powerful feedforward neural network (FNN) optimizer for arbitrary QUBO problems. In this work, we demonstrate that the FNN optimizer can provide high-quality approximate solutions for large problems, including dense 80-variable weighted MaxCut and random QUBOs, achieving an average accuracy of over 99% in less than 1.1 s on an 8-core CPU. …”
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Research on Energy-Saving Optimization Control Strategy for Distributed Hub Motor-Driven Vehicles by Bin Huang, Jinyu Wei, Minrui Ma, Xu Yang

“…The joint simulation verification based on MATLAB R2023a/Simulink-Carsim 2020.0 shows that under World Light Vehicle Test Cycle (WLTC) conditions, the optimization strategy reduces the driving energy consumption by 3.20% and 2.00%, respectively, compared with the average allocation and the traditional strategy. …”
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Hybrid AI and Big Data Solutions for Dynamic Urban Planning and Smart City Optimization by Wei Zhu, Wei He, Qingsong Li

“…Infrastructure optimization metrics showed a 22% gain in cost efficiency and a 15% increase in accessibility. …”
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Innovative Dombi Aggregation Operators in Linguistic Intuitionistic Fuzzy Environments for Optimizing Telecommunication Networks by Dilshad Alghazzawi, Misbah Hayat, Ghaliah Alhamzi, Abdul Wakil Baidar

“…These strategies are successfully applied to present a solution to an MADM problem concerning the selection of an optimal strategy to enhance the efficiency of telecommunication network systems to demonstrate their effectiveness and superiority. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

“…The experimental results showed that the distribution index of the multi-objective particle swarm algorithm was 0.084, and the average convergence index was 0.33. After optimizing the application of a new model in a certain construction project, the cost decreased from 651,100 yuan to 456,500 yuan. …”
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Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm by Yuanhang Qi, Haoran Jiang, Gewen Huang, Liang Yang, Fujie Wang, Yunjian Xu

“…In Experiment 2, when compared with four other algorithms, IBFLPSO outperforms them in both the optimal and average solutions. Specifically, the optimal solution of IBFLPSO is 54.64%, 49.45%, 25.78%, and 22.92% better than those of the traditional PSO algorithm, PSO-2OPT algorithm, GA, and BFLPSO, respectively.…”
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Pedestrian Re-Recognition Algorithm Based on Optimization Deep Learning-Sequence Memory Model by Feng-Ping An

“…Second, they exhibit overfitting problems. Finally, initializing the existing LSTM parameters is problematic. …”
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Construction of an Entropy Estimator with a Special Metrics and an Arbitrary Function by N. E. Timofeeva

“…The proposed function is not monotone, so the task of optimizing the average deviation which is a quadratic optimization problem, is solved in the whole space and not on the simplex. …”
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APLIKASI ALGORITMA GENETIKA DALAM PENJADWALAN MATA KULIAH by Ferdinandus Mone, Justin Eduardo Simarmata

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Investment Portfolio Optimization of Mean-Entropic-VaR Model on the Top Ten Stocks from LQ45 in the Indonesian Capital Market by Nurnisaa binti Abdullah Suhaimi, Herlina Napitupulu, Sukono Sukono

“…In this optimal portfolio, the average portfolio return is obtained at 0.00055 with an EVaR risk of 0.01632. …”
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Word-embedding Based Text Vectorization Using Clustering by Vitaly I. Yuferev, Nikolai A. Razin

“…The resulting vector representation of the text can be additionally enriched using the vectors of words of the original dictionary obtained by decreasing the dimension of their embeddings for each cluster.A series of experiments to determine the optimal parameters of the method is described in the paper, the proposed approach is compared with other methods of text vectorization for the text ranking problem – averaging word embeddings with TF-IDF weighting and without weighting, as well as vectorization based on TF-IDF coefficients.…”
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Evaluating GPT- and reasoning-based large language models on Physics Olympiad problems: Surpassing human performance and implications for educational assessment by Paul Tschisgale, Holger Maus, Fabian Kieser, Ben Kroehs, Stefan Petersen, Peter Wulff

“…The results of this study indicate that both tested LLMs (GPT-4o and o1-preview) demonstrate advanced problem-solving capabilities on Olympiad-type physics problems, on average outperforming the human participants. …”
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Coordinated Multimodal Transportation Infrastructure Planning in Megacities: An Agent-AI-Discrete Network Design Problem Approach Based on Chat-GPT by Jin Guo, Chenyang Wang, Linxiu Wang

“…The Discrete Network Design Problem (DNDP) has mainly been used in unimodal infrastructure planning in small cities. …”
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Optimization of Allocation and Launch Conditions of Multiple Missiles for Three-Dimensional Collaborative Interception of Ballistic Targets by Burak Yuksek, N. Kemal Ure

“…Because the dynamics of the missiles and nature of the allocation problem is highly nonlinear and involves both discrete and continuous variables, the optimization problem is cast as a mixed integer nonlinear programming problem (MINP). …”
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Effects and Risks of Distance Learning in Higher Education by Yu. M. Tsygalov

“…Based on the analysis of the materials of publications and personal experience of teaching online, the potential benefits and problems of distance learning in higher education in Russia are considered. …”
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Performance Analysis and Dimensional Optimization of a 2R1T Parallel Mechanism with Remote Center of Motion by Huang Xin, Che Linxian, Li Jie, Du Li

“…Aiming at maximizing the average transmission index, a constrained optimization model of mechanism dimensional parameters is established, and the accelerating grey wolf optimization (AGWO) algorithm is employed to solve the problem. …”
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