Data-Driven Model Predictive Control for Trajectory Tracking in UAV-Manipulator Systems by Bryan S. Guevara, Jose Varela-Aldas, Viviana Moya, Manuel Cardona, Daniel C. Gandolfo, Juan M. Toibero

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Co-evolutionary algorithm with a region-based diversity enhancement strategy by Kangshun Li, RuoLin Ruan, Shumin Xie, Hui Wang

“…Abstract When addressing constrained multi-objective optimization problems, the presence of complex constraints often results in a non-connected feasible region, segmenting the Pareto front into multiple discrete segments. …”
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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…The need to find a balance between performance and communication is a representative example of the general problem of mapping optimizations. The approach presented in this paper explores a two-phase design-time optimization toolchain based on evolutionary algorithms: a front-end single-objective algorithm decomposes a MM filter using smaller operators, while a back-end multi-objective (fault-tolerance, energy, and communication) algorithm searches for optimal mappings of the filter on a specific many-core system, taking into account the architectural parameters of the hardware. …”
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Traffic matrix-based load balancing routing in flow-based smart identifier network by ARu JI, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG, Ming WAN

“…Traffic ma-trix was use as the constraint, model on load balancing routing problem, and transform the primal problem into dual problem by using Lagrange function. …”
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Dynamic programming in applied tasks which are allowing to reduce the options selection by D. A. Karpov, V. I. Struchenkov

“…For the two-parameter problem of optimal loading of vehicles with weight and volume constraints, the results of comparative calculations by the R. …”
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A Two-Stage Bin Packing Algorithm for Minimizing Machines and Operators in Cyclic Production Systems by Yossi Hadad, Baruch Keren

“…Our algorithm treats the problem of minimum machines as a bin packing problem (BPP), and the problem of determining the number of operators required is also modeled as the BPP, but with constraints. …”
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Optimum Design of Transmit Coil for Inductively Coupled Power Transfer System by LENG Shi-chuan, BAO Chun-ming, WANG Chun-fang, LI Dan

“…First of all，the equivalent model of PS single-tube inverter ICPT system is established，which transform the problem of transfer efficiency into the problem of strong coupling coefficient. …”
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Methodology of statistical synthesis and analysis methods for stochastic signal processing in multi-antenna radio direction finders by Eduard Tserne, Yevhen Holovynskyi, Olha Zhyla

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Deep Reinforcement Learning-Based Secrecy Rate Optimization for Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Unmanned Aerial Vehicle-Integ... by Jianwei Wang, Shuo Chen

“…The approach seeks to maximize the average secrecy rate while satisfying communication and sensing performance standards and transmission security constraints. As the considered problem involves coupled variables and is non-convex, it is difficult to solve using traditional optimization methods. …”
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An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation by Zhengying Cai, Qingqing Yu, Zhuimeng Lu, Zeya Liu, Guoqiang Gong

“…Second, a heuristic artificial plant community algorithm is proposed to obtain an optimal solution to the developed problem model, which is lightweight and can be deployed on edge robots to search for the optimal route in real-time. …”
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Novel Lanthanum Doped Magnetic Teff Straw Biochar Nanocomposite and Optimization Its Efficacy of Defluoridation of Groundwater Using RSM: A Case Study of Hawassa City, Ethiopia by Temesgen Abeto Amibo, Surafel Mustafa Beyan, Tsegaye Markos Damite

“…And, this analysis proposed that multiadsorption techniques such as ligand exchange, precipitations, and electrostatic interaction could be evinced throughout the fluoride ions adsorption process by LDMTSB. The constraints that influence the adsorption efficacy, namely, a dosage of LDMTSB, contact time, pH of the solution, and rotational speed, were analyzed and optimized using the response surface methodology approach. …”
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Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks by Benoit-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos

“…This article addresses the problem of Ultra Reliable Low Latency Communications (URLLC) in wireless networks, a framework with particularly stringent constraints imposed by many Internet of Things (IoT) applications from diverse sectors. …”
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water resources Optimal design of sewage networks for Al-Jaffryah Quarter and Al-Kut Trade Center using genetic algorithms and spectral analysis of the river to know the effect of... by marwa kareem, Mohammed S. Shamkhi

“… The essential objective of this study is the development of an appropriate model to obtain the low cost optimization design of the sewage network. The complexity and the huge number of discrete and non-linear constraints in problems of sewage system design make their treatment important. …”
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A fair-for-all perspective for climate migrants and destinations by Buket Cilali, Kash Barker, Andrés D. González, Chie Noyori-Corbett

“…To this end, we formulate an optimization model such that the objectives and constraints reflect the key aspects of the relocation problem to assign the number of people to be relocated from each origin to each destination. …”
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“I know your problems; take your bag and go home”: a qualitative study using the social-ecological model to understand drivers of suboptimal school and social participation among s... by Yovitha Sedekia, Saidi Kapiga, Onike Mcharo, John Luwayi, Siwema Keya Sasi, Clare Tanton, Belen Torondel, Jennifer Rubli, Giulia Greco, Philip Ayieko, Elialilia Okello

“…Abstract Background School attendance and completion among girls protect them from multiple sexual and reproductive health problems. However, inadequate resources for managing menstruation remains a barrier to school participation and learning in low- and middle-income countries. …”
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Decentralized Robust PID Controller Design Using Disk Margins Specifications by Egydio Tadeu G. Ramos, Pericles R. Barros, George Acioli

“…In this paper, a frequency-based decentralized robust proportional-integral-derivative controller design method is proposed. An optimization problem is used to achieve zero steady-state error for constant setpoints. …”
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Cooperative sensing method considering malicious nodes in cognitive radio networks by Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, Hui-fang WANG

“…Based on a more practical cognitive radio network with malicious users,the spectrum sharing network model based on the cooperative spectrum sensing was studied that the secondary user can dynamically adjust its transmit power based on cooperative sensing results.To avoid significant reduction in performance of spectrum sensing system caused by malicious nodes,it is aimed to study how to improve the performance of cooperative sensing.By introducing the convex optimization problem,the secondary network throughput is maximized under the certain detection probability conditions and the corresponding power constraints.Simulation results show that whether or not there are malicious nodes,the algorithm is efficient in calculating optimal sensing time and the optimal transmit powers,and the secondary network throughput is increased when the maximum interference power limits and the maximum transmit power restrictions are decreased.…”
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Research on Fast Spectrum Resonance Calculation Method Based on Subgroup Method by YU Rongjun, ZHAO Shouzhi, YANG Rui, SONG Yingyun, ZHANG Chong, HUO Xingkai

“…Compared with the reference solution obtained by the Monte Carlo program MCNP, the relative error of the total cross section of the fuel zone is within 1%, the calculation accuracy of the absorption cross section in the high energy region is almost 0.5%, and the calculation accuracy of the absorption cross section in the low energy region is slightly lower, with the maximum relative error within 2% and 3%, respectively, and the absolute errors of the eigenvalues of the two problems are 54 pcm and 146 pcm, respectively. Based on the above numerical verification results of cross section and eigenvalue, the proposed pseudo resonance nuclide subgroup method combined with particle swarm optimization can effectively deal with the problem of resonance cross-section calculation in fast spectrum.…”
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A Review of Integrated Optimization Method of Batch Planning and Scheduling for Steelmaking-Continuous Casting-Hot Rolling Production Under Uncertain Environment Based on Lagrangia... by Liangliang Sun, Xirang Hao, Yunpeng Li, Jinghan Xue, Natalia M. Matsveichuk, Yuri N. Sotskov, Qichun Zhang

“…Considering the uncertain environment and the integration of SM-CC-HR, this paper summarizes the research status of previous scholars from three aspects: mathematical modeling, model optimization, and algorithm optimization based on the Lagrangian framework. …”
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Increasing the self-sufficiency of a university campus by expanding the PV capacity while minimizing the energy cost by Randrianantenaina Tina Arizo, Le Gal La Salle Josselin, Spataru Sergiu Viorel, David Mathieu

“…The results do not highlight a unique combination of roofs as a solution to the optimization problem. However, the analysis of possible combinations gives clear rules for defining the total photovoltaic capacity to be installed and selecting the most suitable roofs.…”
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