Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

“…This algorithm incorporates crossover and mutation operators, making it effective for discrete optimization problems. Furthermore, an improved crowding distance calculation enhances the algorithm’s performance in multi-objective optimization by improving solution distribution. …”
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Enhancing Portfolio Optimization: A Two-Stage Approach with Deep Learning and Portfolio Optimization by Shiguo Huang, Linyu Cao, Ruili Sun, Tiefeng Ma, Shuangzhe Liu

“…To address this problem, this paper presents a novel two-stage approach that integrates deep learning with portfolio optimization. …”
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Comparative Review of Multi-Objective Optimization Algorithms for Design and Safety Optimization in Electric Vehicles by I Gede S. S. Dharma, Rachman Setiawan

“…The comparative results, based on four performance indicators&#x2014;hypervolume (HV), inverted generational distance (IGD), averaged Hausdorff distance <inline-formula> <tex-math notation="LaTeX">$\left ({{ \Delta _{p} }}\right)$ </tex-math></inline-formula>, and spread&#x2014;reveal that SLMEA emerged as the best algorithm, not only for RWMOP-BEV but also across other benchmark sets, including DTLZ problems and other real-world multi-objective optimization problems.…”
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Multi-strategy improved gazelle optimization algorithm for numerical optimization and UAV path planning by Lu Li, Haonan Zhao, Lixin Lyu, Fan Yang

“…Furthermore, the application of MIGOA to three-dimensional unmanned aerial vehicle (UAV) path planning problems and 2 engineering optimization design problems further validates its potential in solving constrained optimization problems. …”
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Problems of treatment adherence in patients with rheumatoid arthritis and comorbidity by N. M. Nikitina, E. V. Egorova, I. F. Melehina, S. N. Grigoryeva, A. P. Rebrov

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OPTIMAL ROUTING: QUALITY OF SERVICE by N. I. Listopad, A. A. Hayder

“…The general principals of optimal routing are formulated. The average packet delay in the network is analyzed more detail. …”
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An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection by Tianbao Liu, Lingling Yang, Yue Li, Xiwen Qin

“…In this paper, we proposed a multi-strategy enhanced dung beetle optimization algorithm (mDBO) that integrates multiple strategies to effectively address the feature selection problem. …”
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Entropy Generation Optimization in Multidomain Systems: A Generalized Gouy-Stodola Theorem and Optimal Control by Hanz Richter, Meysam Fathizadeh, Tyler Kaptain

“…The paper then formulates an optimal control problem for a representative electromechanical system, obtaining complete, closed-form solutions for the load power transfer and energy harvesting cases. …”
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Optimizing the Ratio of Wind and Solar Power Stations by Kuznetsov N., Smertiuk V., Lysenko O., Nesterchuk D., Adamova S.

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Improvement of activity of entrepreneurs and enterprise structures by L. A. Akhmetov, D. M. Dzhurayev, D. A. Zhuravlev

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Pickup and delivery planning for the crowdsourced freight delivery routing problem. by Jingxian Zhang

“…To solve this combinatorial optimization problem, we propose an improved partheno genetic algorithm (IPGA) and a simulated annealing algorithm (SA). …”
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Stochastic Optimal Control for Uncertain Structural Systems Under Random Excitations Based on Bayes Optimal Estimation by Hua Lei, Zhao-Zhong Ying, Zu-Guang Ying

“…Stochastic vibration control of uncertain structures under random loading is an important problem and its minimax optimal control strategy remains to be developed. …”
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Scheduling optimization based on particle swarm optimization algorithm in emergency management of long-distance natural gas pipelines. by Huichao Guo, Runhua Huang, Shuqin Cheng

“…This paper aims to solve the scheduling optimization problem in the emergency management of long-distance natural gas pipelines, with the goal of minimizing the total scheduling time. …”
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Optimal adaptive heuristic algorithm based energy optimization with flexible loads using demand response in smart grid. by Hisham Alghamdi, Lyu-Guang Hua, Ghulam Hafeez, Sadia Murawwat, Imen Bouazzi, Baheej Alghamdi

“…The LSC offers a solution to the primary problems faced during implementing demand response. …”
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Comparative Characteristics of the Results of Evacuation to Healthcare Facilities and Treatment Outcomes of Children Who Applied for First Aid With Acute Abdominal Pains. The Case... by Ekaterina А. Romanova, Leyla S. Namazova-Baranova, Elena Yu. Dyakonova, Aleksey Yu. Romanov, Kazbek S. Mezhidov, Zharadat I. Dohshukaeva

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Optimization Strategies for Urban Waterlogging Warning in Complex Environments: Based on Particle Swarm Optimization and Deep Neural Networks by Xiande Hu, Fenfei Gu

“…However, the current urban waterlogging warning model still has problems such as low accuracy, real-time performance, and poor model convergence. …”
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An Optimal Linear Transformation for Data Assimilation by Chris Snyder, Gregory J. Hakim

“…Abstract Linear transformations are widely used in data assimilation for covariance modeling, for reducing dimensionality (such as averaging dense observations to form “superobs”), and for managing sampling error in ensemble data assimilation. …”
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Research on artificial intelligence-driven container relocation problem for green ports by Sisi Zheng, Jin Sha, Yinying Kong, Yougan Wang

“…IntroductionContainer relocation in port yards represents a canonical NP-hard problem, characterized by high-dimensional nonlinear constraints and stringent real-time decision-making requirements.MethodsThis study proposes a unified framework integrating an Intelligent Decision-Driven Model (IDDM), an Adaptive Data Generator (ADG), and an Optimization–Learning Closed-Loop Framework (OLCF).ResultsThe IDDM leverages heuristic search and machine learning within a multi-stage decision mechanism to mitigate the curse of dimensionality; in two-dimensional scenarios involving 50–100 containers, the model achieves an average response time of 9.83 ± 0.12 µs and reduces relocation operations by 61.68%. …”
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Tabu Search Algorithm for Solving a Location-Routing-Inventory Problem by Nova Indah Saragih, Peri Turnip

“…TS has been widely used to solve complex combinatorial optimization problems. The result of the computational comparison show that the heuristic method can provide a relatively small average gap of 3.20% compared to the optimal method. …”
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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

“…The inherent characteristics of unbalanced three-phase distribution networks can have negative technical and financial effects. In this vein, optimal conductor size selection and phase balancing are among the most common strategies for improving these indicators, which involves dealing with complex optimization problems. …”
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