Effective Solution of University Course Timetabling using Particle Swarm Optimizer based Hyper Heuristic approach by Zahid Iqbal, Rafia Ilyas, Huah Yong Chan, Naveed Ahmed

“…The university course timetable problem (UCTP) is typically a combinatorial optimization problem. …”
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Multi-values discrete particle swarm optimization for cross layer resource allocation in cooperative OFDMA systems by Wei LI, Chun-lin XIONG, De-gang WANG, Xiao-ying ZHANG, Ji-bo WEI

“…In order to maximize the sum utility of all MS under per-relay power constraint(PPC), an asymptotic optimal resource allocation algorithm based on multi-values discrete particle swarm optimization (MDPSO) was pro-posed. …”
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Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands by Ying-Yi Hong, Faa-Jeng Lin, Fu-Yuan Hsu

“…The system loss is minimized while the operational constraints, including reverse power and voltage variation, are satisfied due to the optimal feeder reconfiguration. …”
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Grey Wolf Optimization Algorithm-Based Hybrid Energy Storage System Controller Design for Electric Vehicles by Yasin Kabalcı, Ersan Kabalcı

“…However, EVs encounter some important constraints such as inefficiency of energy consumption management, charging time, and battery range problems. …”
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Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm by Thuan Thanh Nguyen, Thang Trung Nguyen, Ngoc Au Nguyen

“…In this paper, an effective method to determine an initial searching point (ISP) of the network reconfiguration (NR) problem for power loss reduction is proposed for improving the efficiency of the continuous genetic algorithm (CGA) to the NR problem. …”
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Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. by Cristina Savin, Peter Dayan, Máté Lengyel

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EXPERIMENTAL STUDIES OF A MODEL FOR OPTIMIZING THE PORTFOLIO OF A PROJECT-ORIENTED ORGANIZATION BASED ON THE ENTROPY CONCEPT by Alla Bondar, Svitlana Onyshchenko

“…The model makes it possible to obtain solutions on the optimal structure of a portfolio of projects in terms of its value under given resource constraints (in the form of a share of total energy and output energy) and energy entropy. …”
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Study on Strength Prediction and Material Scheme Optimization for Modified Red Mud Based on Artificial Neural Networks by Qiaoling Ji, Xiuru Jia, Yingjian Wang, Yu Cheng

“…Focusing on the complex nonlinear problems of strength prediction and the material scheme design of modified red mud for use as a road material in engineering applications, a strength prediction neural network is established and utilized to optimize the material scheme, including the compound-solidifying agent ratio, water content, and curing age, based on experimental data accumulated during years of engineering practice and an artificial neural network. …”
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Physics Informed Neural Networks-Based AC Optimal Power Flow Under High RES Penetration by Fahad Saleh Al-Ismail

“…Creating machine learning techniques to solve AC optimal power flow (ACOPF) problems in power systems requires datasets that are difficult to obtain, do not easily adjust to changing network structures, do not consider worst-case scenarios such as load shedding and renewable energy source (RES) curtailment, and lack the adaptability to handle high levels of RES integration. …”
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Modeling a Green and Reliable Intermodal Routing Problem for Food Grain Transportation Under Carbon Tax and Trading Regulations and Multi-Source Uncertainty by Yan Sun, Chen Zhang, Ailing Chen, Guohua Sun

“…This work incorporates wastage reduction by lowering the wastage costs and formulating a wastage threshold constraint in intermodal routing. Accordingly, a fuzzy mixed-integer nonlinear programming model for a green and reliable intermodal routing problem for food grain transportation is proposed. …”
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Review of frequency response strategies in renewable-dominated power system grids: Market adaptations and unit commitment formulation by Azeez O. Olasoji, D.T.O. Oyedokun, Samuel O. Omogoye, Chris Thron

“…Also, studies primarily focus on generation adequacy and the reliability criterion of the largest generator outage, overlooking the potential impact of network constraints and congestions in their formulation. Our analysis provides valuable insights into creating market frameworks that optimize energy and ancillary services, ensuring a stable and efficient grid operation in a power system dominated by RES. …”
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MULTI-OBJECTIVE RELIABILITY OPTIMIZATION DESIGN OF PLANETARY GEAR TRANSMISSION BASED ON IMPROVED PARTICLE SWARM ALGORITHM by WANG ChunHua, GUO Yue, JIANG ZongShuai

“…To improve the problem that the conventional design results of planetary gear transmission could not guarantee all of objectives were the optimal, aiming at the shortcomings that adaptive particle swarm optimization algorithm easily produced infeasible solution and fell into local optimum, an adaptive particle swarm optimization algorithm based on multi-level penalty function with dynamic change penalty coefficient was proposed. …”
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Application of ADAMS in the Optimization Design of Automobile Double Cross Shaft Universal Joint Steering Transmission System by Pan Yu, He Yunfeng, Xie Weijia, He Zhibing, Li Changyou, Huang Yuandu

“…Aiming at the problem of speed fluctuation caused by the hard dot arrangement of the automobile double cross shaft universal joint steering system,the layout of hard spot how to ensure universal constant velocity transmission is studied,and taking the double cross shaft universal joint transmission structural optimization of a car as example,by using ADAMS / view software,the parametric dynamics model of double cross shaft universal joint transmission mechanism is built.Taking the variable in structure as design variable,taking the interaxial angle between intermediate shaft and the input shaft,the output shaft is not less than 155° as constraint condition,taking the angular difference of interaxial angle between intermediate shaft and the driving,driven shaft as the optimization target,and setting the steering intermediate shaft phase angle,the best hard spot layout program of double cross shaft universal joint steering system is acquired,and the steering transmission without fluctuation.…”
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DDPG-based performance optimization algorithm for IRS-assisted simultaneous wireless information and power transfer systems by LUO Liping, PAN Weimin

“…To solve the non-convex optimization problem, a deep deterministic policy gradient (DDPG) algorithm based on deep reinforcement learning was proposed. …”
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Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System by Chengzhen JIA, Lingmei WANG, Enlong MENG, Derong YANG, Dongjie GUO, Yushan LIU

“…In order to realize the optimal capacity allocation and day-ahead scheduling in wind-solar-hydrogen coupled generation system, the NSGA-II intelligent optimization algorithm is used to solve the multi-objective optimization problem of capacity allocation, and the optimal dispatching algorithm considering hydrogen transportation constraint is constructed on power generation side. …”
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FSO mathematical modelling and optimization base track to train communication under the atmospheric weather forecast conditions by Ahmed Alzahmi, M. F. L. Abdullah, Mohammed A. Alhartomi, Wafi A. B. Mabrouk, Saeed Alzahrani

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OPTIMIZING LAST-MILE DELIVERY BY DEEP Q-LEARNING APPROACH FOR AUTONOMOUS DRONE ROUTING IN SMART LOGISTICS by Pannee Suanpang, Pitchaya Jamjuntr

“…At last, it advocates carrying on deeper into the application of reinforcement learning in the solving of complex optimization problems in various other fields. …”
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OPTIMIZING LAST-MILE DELIVERY BY DEEP Q-LEARNING APPROACH FOR AUTONOMOUS DRONE ROUTING IN SMART LOGISTICS by Pannee Suanpang, Pitchaya Jamjuntr

“…At last, it advocates carrying on deeper into the application of reinforcement learning in the solving of complex optimization problems in various other fields. …”
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An Enhanced Artificial Lemming Algorithm and Its Application in UAV Path Planning by Xuemei Zhu, Chaochuan Jia, Jiangdong Zhao, Chunyang Xia, Wei Peng, Ji Huang, Ling Li

“…When applied to UAV path planning in large- and medium-scale environments with realistic obstacle constraints, the EALA generates Pareto-optimal paths that minimize length, curvature, and computation time while guaranteeing collision avoidance. …”
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Convergence Study of Minimizing the Nonconvex Total Delay Using the Lane-Based Optimization Method for Signal-Controlled Junctions by C. K. Wong, Y. Y. Lee

“…A set of constraints is set up to ensure the feasibility and safety of the resultant optimized lane markings and signal settings. …”
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