MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

“…However, most of the current CSA-based FS techniques deal with gene selection problems as a single objective rather than adopting a multi-objective mechanism. …”
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Reliable heuristic mapping method for survivable virtual network by Qiang ZHU, Hui-qiang WANG, Chun-guang MA, Guang-sheng FENG, Hong-wu LV

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Methodological approach to estimation of the structure of load bearing insulation materials of buildings and constructions of railway transport by A. I. Adilkhodzhaev, S. S. Shaumarov, E. V. Shchipacheva, N. I. Begmatov

“…As the strength of cellular concrete is directly proportional to the average density, and the thermal properties are inversely proportional, solution to the problem of optimizing macrostructure of material in order to simultaneously improve its strength and thermal properties is much more complicated. …”
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Geometrical design of minichannels with rectangular wall cavities for flow boiling heat transfer enhancement by Mohammad Sina Yaghoubi, Ali Ahmadpour, Majid Saffar-Avval

“…Moreover, the result showed an optimal design point for the problem with non-dimensionalized depth and pitch of cavities equal to 3 and 5, respectively, for which a performance index as large as 2.25 is reported.…”
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Design and Experiment of Obstacle Avoidance Mower in Orchard by Yi Yang, Yichuan He, Zhihui Tang, Hong Zhang

“…In order to solve the problem of mowing between plants in Xinjiang trunk orchards, an obstacle avoidance mower suitable for trunk orchard planting mode was designed. …”
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Two-Timescale Cross-Layer Design for URLLC Over Parallel Fading Channels With Imperfect CSI by Hongsen Peng, Meixia Tao

“…Specifically, we formulate a two-timescale total average power minimization problem under reliability, latency, and peak power constraints. …”
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Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems by Shubham Garg, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan

“…In addition, an average reduction of 36 % in energy consumption and 18 % in delay was observed for the MAC unit compared with the conventional MAC. …”
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Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

“…While a standard application of mixed-integer optimization would not be feasible in practice due to the combinatorial complexity of the problem, the scalable MPC algorithm proposed in this paper retains all the flexibility and modelling power of optimization-based techniques, and is almost as fast as the state of the art scheduling heuristics, which in real scenarios can provide a sub-optimal solution in few seconds, or less. …”
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Impact of Extreme Rainstorms on Accessibility of Urban Medical Services and Layout Method of Emergency Points: A Case Study of the Shenzhen River Basin by YANG Guang, LIU Yongqiang, LIU Guoqing, LU Wenxiu, FAN Ziwu, LI Suyun, XIAO Zhiming

“…In order to control the medical service arrival time at any unsubmerged location in the study area within 15 minutes under extreme rainstorm conditions, emergency service equipment of six community hospitals can be supplemented to optimize emergency service capabilities. After optimization, the average arrival time of emergency services is shortened to less than 5 minutes, which is 2.9 minutes shorter than that of the unoptimized scheme on average. …”
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FRRT*-Connect: A Bidirectional Sampling-Based Path Planner with Potential Field Guidance for Complex Obstacle Environments by Wenshan Yan, Xiangrong Xu, Aleksandar Rodić, Petar B. Petrovich

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Identification method of canned food for production line sorting robot based on improved PSO-SVM by GAO Haiyan, GAO Jinyang, WANG Weicheng

“…<b>Objective:</b> To solve the problems of poor accuracy and low efficiency in target recognition methods for existing sorting robots in food production lines. …”
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Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection by Zhongmin Wang, Yujun Zhang, Jun Yu, YuanYuan Gao, Guangwei Zhao, Essam H. Houssein, Rui Zhong

“…Finally, we extend the proposed MEMPA to optimize the hyper-parameters of the Extreme Learning Machine (ELM) for intrusion detection, and the performance of MEMPA-ELM increases the average accuracy by 0.79% than the second-best model. …”
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Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China by Qiong Li, Hang Zhou, Ali Shirzad

“…This is because MSOA has indeed more advantages over other optimizers, including speed increase in convergence, stronger global search capability, improved dynamic exploration-exploitation balance, and increased accuracy against multi-objective optimization problems.…”
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Multi-objective particle swarm algorithm based on angular segmentation archive and dynamic update tactics by Yi Luo, Yanmin Liu, Jianjie Chen, Jie Yang, Jiang Yu

“…The experimental results show that the ASDMOPSO algorithm is more competitive than other comparison algorithms, with significantly improved optimization efficiency. For example, on the ZDT4 test function, its average IGD value is 0.032, outperforming the standard PSO algorithm and surpassing all other comparison algorithms, thereby validating the algorithm’s superiority in complex multi-objective optimization problems.…”
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Attention-Based Multi-Objective Control for Morphing Aircraft by Qien Fu, Changyin Sun

“…Furthermore, a multi-phase pseudospectral method is derived to discretize the auxiliary problem and formulate the corresponding nonlinear programming problem, where open loop optimal solutions of the multi-task flight mission are generated. …”
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Evaluating integrated development environments using the TOPSIS method and Schweizer-Sklar power aggregation operator: implications for university students’ psychological managemen... by Lijun Ma, Fengyu Guo, Zeeshan Ali, Shi Yin

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A novel user-centric happiness model for personalized tour recommendations by Mohammed Alatiyyah

“…Experimental results demonstrate the model’s effectiveness in generating personalized tour recommendations aligned with user preferences. The HM achieves an average satisfaction score of 0.85 across multiple datasets, outperforming traditional models such as the Time-Dependent Orienteering Problem with Time Windows (TOPTW), which achieves an average score of 0.72. …”
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Spectrum resource allocation for high-throughput satellite communications based on behavior cloning by QIN Hao, LI Shuangyi, ZHAO Di, MENG Haowei, SONG Bin

“…In high-throughput multi-beam satellite systems, the dimensionality of the spectrum resource allocation problem increased drastically with the number of satellite beams and service users, which caused an exponential rise in the complexity of the solution. …”
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Max-Min Fairness for Stacked Intelligent Metasurface-Assisted Multi-User MISO Systems by Nipuni Ginige, Prathapasinghe Dharmawansa, Arthur Sousa De Sena, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-Aho

“…For the statistical CSI case, since deriving an exact expression for the average minimum achievable rate is analytically intractable, we derive a tight upper bound and thereby formulate a stochastic optimization problem. …”
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Performance validation of global MPPT for efficient power extraction through PV system under complex partial shading effects by Muhammad Abu Bakar Siddique, Dongya Zhao, Khmaies Ouahada, Ateeq Ur Rehman, Habib Hamam

“…The control strategy identifies GMPP and computes reference current to minimize the cost function of an optimization problem. It was compared with other MPPT algorithms regarding tracking accuracy, convergence speed, computational time, steady-state oscillations (SSOs), power efficiency under UIC, SPSCs, and complex partial shading conditions (CPSCs). …”
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