Role of transfer functions in PSO to select diagnostic attributes for chronic disease prediction: An experimental study by Samir Malakar, Swaraj Sen, Sergei Romanov, Dmitrii Kaplun, Ram Sarkar

“…Particle Swarm Optimization (PSO) is a classic and popularly used meta-heuristic algorithm in many real-life optimization problems due to its less computational complexity and simplicity. …”
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Frequency regulation of interconnected hybrid power system with Assimilation of electrical vehicles by Amil Daraz, Irfan Ahmed Khan, Abdul Basit, Suheel Abdullah Malik, Salman A. AlQahtani, Guoqiang Zhang

“…The new proposed controllers are designed using the white shark optimizer (WSO), a current powerful bioinspired meta heuristic algorithm which has been motivated by the learning abilities of white sharks when actively hunting in the environment. …”
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Adaptive information sharing approach for crowd networks based on two stage optimization by Xiaoni Wang, Zhiwen Pan, Zhouxia Li, Wen Ji, Feng Yang

“…In this way, during the implementation of the proposed approach, heuristic algorithms can be chosen according to the complexity of the target crowd network.…”
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Infrared-Fused Vision-Based Thermoregulation Performance Estimation for Personal Thermal Comfort-Driven HVAC System Controls by Ali Ghahramani, Qian Xu, Syung Min, Andy Wang, Hui Zhang, Yingdong He, Alexander Merritt, Ronnen Levinson

“…We use a regularized Gaussian Mixture model to track the thermoregulation changes over time and apply a heuristic algorithm to extract hot and cold indices. We present a personalized and a generalized comfort modeling method, selected based on the availability of the occupant historical indices measurements in a neutral environment, and use the time-series of the hot and cold indices to define corrections to HVAC system operations in the form of setpoint constraints. …”
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User Association and Load Balancing Based on Monte Carlo Tree Search by Hyeon-Min Yoo, Jung-Mo Moon, Jeehyeon Na, Een-Kee Hong

“…To obtain a near-optimal user association solution with manageable computational complexity, in this paper, we propose a heuristic algorithm based on Monte Carlo tree search (MCTS) for user association in UD-HetNet. …”
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A New Decision-Making Strategy for Techno-Economic Assessment of Generation and Transmission Expansion Planning for Modern Power Systems by Mohamed M. Refaat, Shady H. E. Abdel Aleem, Yousry Atia, Essam El Din Aboul Zahab, Mahmoud M. Sayed

“…To solve it, a solution methodology based on a developed decision-making approach and an improved meta-heuristic algorithm is developed. The decision-making approach aims to keep the number of decision variables as fixed as possible, regardless of the number of projects planned. …”
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Estimating the mean cutting force of conical picks using random forest with salp swarm algorithm by Jian Zhou, Yong Dai, Ming Tao, Manoj Khandelwal, Mingsheng Zhao, Qiyue Li

“…So, in this research, a novel intelligent model based on a random forest algorithm (RF) and a heuristic algorithm called the salp swarm algorithm (SSA) have been applied to determine the optimal hyper-parameters in RF, and root mean square error is used as a fitness function. …”
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Research on a Dynamic Task Update Assignment Strategy Based on a “Parts to Picker” Picking System by Kaibo Liang, Li Zhou, Jianglong Yang, Huwei Liu, Yakun Li, Fengmei Jing, Man Shan, Jin Yang

“…A new method of the hybrid time window is proposed by combining fixed and variable time windows, and an order consolidation batch strategy is established with the aim of minimizing the number of target shelves for picking. A heuristic algorithm is designed to select a shelf selection model, taking into account the constraint condition that the goods on the shelf can meet the demand of the selection list. …”
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Bandwidth-Guaranteed Resource Allocation and Scheduling for Parallel Jobs in Cloud Data Center by Zhen Li, Bin Chen, Xiaocheng Liu, Dandan Ning, Qihang Wei, Yiping Wang, Xiaogang Qiu

“…An adaptive bandwidth-aware heuristic algorithm, which is denoted as AdaBa, is proposed to improve the job accept rate by adjusting the priorities of servers to accommodate the VMs of TVC adaptively according to the relative size of requested bandwidth demand. …”
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A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem by Mona A. S. Ali, Fathimathul Rajeena P. P., Diaa Salama Abd Elminaam

“…This research applies a new meta-heuristic algorithm called the artificial hummingbird algorithm (AHA) to solving the waste classification problem based on feature selection. …”
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Multiple Strategies Based Salp Swarm Algorithm for Optimal Operation of Multiple Hydropower Reservoirs by Hongya Qiu, Jianzhong Zhou, Lu Chen, Yuxin Zhu

“…Then, the improved SSA (ISSA) is compared with six well-known meta-heuristic algorithms on 23 classical benchmark functions. …”
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Material diversification in pavement management : a technique to proactively deal with an uncertain future by Swei, Omar Abdullah

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Decision support systems for automated terminal area air traffic control by Pararas, John Demetrios

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Rule-based system architecting of Earth observation satellite systems by Selva Valero, Daniel

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Room allocation with capacity diversity and budget constraints by Li, Yunpeng, Jiang, Yichuan, Wu, Weiwei, Jiang, Jiuchuan, Fan, Hui

“…Third, this paper proposes a heuristic algorithm based on the local search for the general case in which the capacity of each room is not bounded by a constant. …”
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Omega grey wolf optimizer (ωGWO) for optimization of overcurrent relays coordination with distributed generation by Noor Zaihan, Jamal

“…This thesis apply a meta-heuristic algorithm called Grey Wolf Optimizer (GWO) to minimize the overcurrent relays operating time while fulfilling the inequality constraints. …”
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Characterization and Selection of WiFi Channel State Information Features for Human Activity Detection in a Smart Public Transportation System by Roya Alizadeh, Yvon Savaria, Chahe Nerguizian

“…Since the environment of a transportation system changes dynamically and non-deterministically, we propose analyzing these changes with a heuristic algorithm that leverages a decision tree to automate a decision-making solution for feature selection. …”
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Gradient-based wind farm layout optimization with inclusion and exclusion zones by J. Criado Risco, J. Criado Risco, R. Valotta Rodrigues, R. Valotta Rodrigues, M. Friis-Møller, J. Quick, M. Mølgaard Pedersen, P.-E. Réthoré

“…Initial guesses are used to instantiate the optimization problem, which is solved following three independent approaches: (1) a baseline approach that uses a gradient-based solver; (2) approach 1 combined with the relaxation of the boundaries, which allows for a better design space exploration; and (3) the application of a heuristic algorithm, “smart-start”, prior to the gradient-based optimization, improving the allocation of wind turbines within the inclusion polygons based on the potential wind resource and the available area. …”
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Training Data Selection and Optimal Sensor Placement for Deep-Learning-Based Sparse Inertial Sensor Human Posture Reconstruction by Zhaolong Zheng, Hao Ma, Weichao Yan, Haoyang Liu, Zaiyue Yang

“…We formulate the data selection into an optimization problem to obtain continuous and IID data segments, which comply with a small reference dataset collected from the target scenario. A two-step heuristic algorithm is proposed to solve the data selection problem. …”
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A multiple phenotype imputation method for genetic diversity and core collection in Taiwanese vegetable soybean by Yen-Hsiang Huang, Hsin-Mei Ku, Chong-An Wang, Ling-Yu Chen, Shan-Syue He, Shu Chen, Po-Chun Liao, Pin-Yuan Juan, Chung-Feng Kao, Chung-Feng Kao

“…An advanced maximization strategy with a heuristic algorithm and PowerCore was used to evaluate the morphological diversity among the ECimpu. …”
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