Implementasi Algoritme Evolusioner NSGA-II pada Optimasi Daya Wireless Power Transfer Multi-Penerlima by Sabriansyah Rizqika Akbar, Eko Setiawan, Agung Setiabudi

“…The NSGA-II evolutionary algorithm is used to solve multi-objective-function problems and their constraints to obtain optimal parameter values. …”
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Indexation of Fixed-Income Portfolios to the IMA-B by Emilio Ricardo Carvalhais, Antonio Marcos Duarte Júnior

“…The resulting model is a mathematical programming problem with convex objective function, linear constraints and free and non-negative integer variables. …”
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Energy-efficient cooperative sensing and transmission in relay-assisted cognitive radio network by Li FENG, Yu-jun KUANG, Bin-wei WU, Xin-chuan FU

“…An innovative EE-oriented cooperative sensing and transmission scheme in relay-assisted cognitive radio networks,called energy-efficient best-relay cooperative transmission (BCT) was proposed.Based on the BCT scheme,mean energy efficiency (MEE) maximization problem with sensing duration and transmitting power as optimization variables was modeled for fading channels under constraint of minimal secondary outage probability.By virtue of Jensen’s inequality,the original optimization problem was decomposed into two relatively independent subproblems which solved sensing duration and power allocation respectively.And for the two subproblems,an efficient cross iteration based algorithm was proposed to obtain the suboptimal solutions.Both analytical and simulation results demonstrate that the proposals can achieve significantly higher EE while enhancing reliability of secondary transmission remarkably compared to non-cooperation single cognitive transmission schemesin high QoS requirement.…”
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Energy-efficient cooperative sensing and transmission in relay-assisted cognitive radio network by Li FENG, Yu-jun KUANG, Bin-wei WU, Xin-chuan FU

“…An innovative EE-oriented cooperative sensing and transmission scheme in relay-assisted cognitive radio networks,called energy-efficient best-relay cooperative transmission (BCT) was proposed.Based on the BCT scheme,mean energy efficiency (MEE) maximization problem with sensing duration and transmitting power as optimization variables was modeled for fading channels under constraint of minimal secondary outage probability.By virtue of Jensen’s inequality,the original optimization problem was decomposed into two relatively independent subproblems which solved sensing duration and power allocation respectively.And for the two subproblems,an efficient cross iteration based algorithm was proposed to obtain the suboptimal solutions.Both analytical and simulation results demonstrate that the proposals can achieve significantly higher EE while enhancing reliability of secondary transmission remarkably compared to non-cooperation single cognitive transmission schemesin high QoS requirement.…”
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Research on Avoidance of Energy Hole Scheme in the Wireless Mesh Network by Chunlong Lu, Yuchun Cao, Guangxue Yue

“…In order to avoid the energy hole problem in wireless mesh network, the non-uniform distribution strategy about the cluster nodes was put forward, the energy efficiency optimization equilibrium routing algorithm was designed. …”
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Offline Model Predictive Control Based on Weighted Projection over Polytopes by Fabio Andrade de Almeida

“…If a preference is established in terms of which decision variables are more desirable, the optimization problem can be solved by sequentially choosing the most important variables and performing a membership test with the projection of the constraint closed set over the related dimensions. …”
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Preparing educators for the digital age: teacher perceptions of active teaching methods and digital integration by Gulmira Abildinova, Elmira Abdykerimova, Almagul Assainova, Kaussar Mukhtarkyzy, Dariya Abykenova

“…Participants identified resource limitations (43.27%) and time constraints (33.65%) as key challenges. Problem-Based Learning (PBL) was preferred for fostering critical thinking and problem-solving, with a majority (51.92%) favoring it over other methods. …”
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An Approximation Method for Variational Inequality with Uncertain Variables by Cunlin Li, Hongyu Zhang, Rui Yuan, Yee Hooi Min, Tzu-Chien Yin

“…Furthermore, a gap function is constructed to transform UVIP into an uncertain constraint optimization problem, and the optimal value of the constraint problem is proved to be the solution of UVIP. …”
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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations by V. Murugesh, M. Priyadharshini, T. R. Mahesh, Esmael Adem Esleman

“…It is formulated as an optimization objective function with constraints, with the residuals of the ODEs and boundary conditions as the objective function and penalty functions ensuring constraint satisfaction. …”
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Efficient Resource Allocation and UAV Deployment in STAR-RIS and UAV-Relay Assisted Public Safety Networks for Video Transmission by Naveed Khan, Ayaz Ahmad, Abdulmalik Alwarafy, Munam Ali Shah, Abderrahmane Lakas, Muhammad Moazam Azeem

“…This optimization is subject to several constraints. The formulated optimization problem is non-convex, posing a challenge in solving it. …”
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Improved transmit beamforming design based on ADMM for low probability of intercept of FDA-MIMO radar by Pengcheng GONG, Yuntao WU

“…Considering the low probability of intercept problem that the signal-dependent interference and the target were located in the same angle, an improved transmit beamforming design based on the alternating direction method of multipliers (ADMM) was proposed for multiple-input multiple-output with frequency diverse array radar.The transmit energy was minimized at the target under constraints of the energy at each transmitter and signal clutter-plus-noise ratio requirement.Subsequently, a cyclic algorithm was developed to tackle the non-convex design problem.Firstly, the optimal receive filter was obtained by generalized Rayleigh quotient.And then the transmit beamforming was optimized by employing auxiliary variables and ADMM to solve quadratic programming problem with fractional inequality constraint.Moreover, both the convergence and computational complexity of the proposed algorithm were discussed.Simulation results show that, compared with the semi-denite programming method, the proposed method not only attains the given antenna power, but also achieves the better mainlobe focusing performance at the target.Furthermore, the null levels at the clutter locations and the jamming directions obtained by the proposed method are -50 dB above.…”
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Coupled Water–Energy–Carbon Study of the Agricultural Sector in the Great River Basin: Empirical Evidence from the Yellow River Basin, China by Jingwei Song, Jianhui Cong, Yuqing Liu, Weiqiang Zhang, Ran Liang, Jun Yang

“…The assumption of producer responsibility serves to exacerbate the problem of inter-regional development imbalances. (3) According to the cross-sectoral analysis, water resources are in the center of sectoral interaction, and controlling the upstream sector of the resource supply will indirectly affect the synergistic relationship of WEC, and controlling the downstream sector of resource consumption will indirectly affect the constraint relationship of WEC. …”
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3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution by Binbin Tu, Fei Wang, Xiaowei Han

“…In this paper, we propose a novel approach, the differential evolution combined marine predators algorithm (DECMPA), specifically tailored to address the UAV 3D path planning problem in complex scenarios. To handle stringent constraints, DECMPA adopts a multi-step approach. …”
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Efficient Locomotion for Space Robots Inspired by the Flying Snake by Zhiyuan Yang, Sikai Zhao, Nanlin Zhou, Jian Qi, Ning Zhao, Jizhuang Fan, Jie Zhao, Yanhe Zhu

“…Then, during the flight (free-floating) phase, the joint motions are planned using a nonlinear optimization technique, considering the nonholonomic constraints introduced by the momentum conservation and the system states at the initial and final states of the floating. …”
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Ranking and Challenges of Supply Chain Companies Using MCDM Methodology by Alaa Fouad Momena, Kamal Hossain Gazi, Mostafijur Rahaman, Anna Sobczak, Soheil Salahshour, Sankar Prasad Mondal, Arijit Ghosh

“…<i>Method</i>: A mathematical model is framed as a multi-criteria decision-making (MCDM) problem with challenges as criteria and companies as alternatives. …”
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DynaOOD-Net: Dynamic Progressive Feature Fusion and Energy Balancing for Robust Out-of-Distribution Detection by Jiting Zhou, Zhihao Zhou, Pu Zhang

“…Meanwhile, BECL dynamically adjusts category constraints, effectively addressing the indistinct energy boundary between known and unknown objects and the class imbalance problem, thus improving the model&#x2019;s ability to distinguish between in-distribution (ID) and out-of-distribution (OOD) samples. …”
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A Heuristic Approach to Identify the Steel Grid Direction of R/C Slabs Using the Yield-Line Method for Analysis by Luigi Fenu, Valeria Colasanti, Eleonora Congiu, Gian Felice Giaccu, Francesco Trentadue, Bruno Briseghella

“…The constraints that often limit these parameters are taken into account through the exterior penalty function method, leading to a successful solution of the problem. …”
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A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

“…In this paper, an accurate error compensation method based on geometric parameter correction and process optimization is proposed for the problem of coupling error in a heavy-load longitudinal and transversal swing table (HLTST) under space constraints, which makes it difficult to control the position efficiently and accurately. …”
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On the Synergy of IoMT Devices and Ceiling-Mounted Systems for Advanced Medical Data Analytics by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos K. Markakis, Athina Bourdena, George Mastorakis

“…The multi-objective optimization problem minimizes energy consumption and latency while ensuring fairness and timely data collection, which is particularly critical in patient monitoring and time-sensitive diagnostics scenarios. …”
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Learning Spectral&#x2013;Spatial-Former Deep Prior for Hyperspectral Image Superresolution by Zeinab Dehghan, Jingxiang Yang, Abdolraheem Khader, Jian Fang, Liang Xiao

“…The superresolution (SR) technique is a leading solution for achieving high spatial&#x2013;spectral resolution in hyperspectral (HS) images, which current sensors struggle to provide due to cost and physical constraints. This study presents a multistage optimization framework that leverages high- and low-frequency components, along with a quadratic splitting method, to address the SR problem. …”
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