Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach by Jonathan Moeyersons, John Morales, Nick Seeuws, Chris Van Hoof, Evelien Hermeling, Willemijn Groenendaal, Rik Willems, Sabine Van Huffel, Carolina Varon

“…We compared three approaches: a heuristic algorithm, a feature-based classification model (SVM) and a convolutional neural network (CNN). …”
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Simultaneously Distributed Generation Allocation and Network Reconfiguration in Distribution Network Considering Different Loading Levels by Salah Kamel, Mansur Khasanov, Francisco Jurado, Abror Kurbanov, Hossam M. Zawbaa, Moath A. Alathbah

“…This paper introduces a novel application of the recently developed meta-heuristic algorithm called Geometric Mean Optimization (GMO). …”
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A Comprehensive Review on STATCOM: Paradigm of Modeling, Control, Stability, Optimal Location, Integration, Application, and Installation by Sandeep Sharma, Saket Gupta, Mohd Zuhaib, Vijay Bhuria, Hasmat Malik, Abdulaziz Almutairi, Asyraf Afthanorhan, Mohammad Asef Hossaini

“…The genetic algorithm, heuristic algorithm, probabilistic technique and branch and bound approach are mainly used for the optimal placement of STATCOM as described in the available research paper. …”
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Meta-Heuristic Technique-Based Parametric Optimization for Electrochemical Machining of Monel 400 Alloys to Investigate the Material Removal Rate and the Sludge by Vengatajalapathi Nagarajan, Ayyappan Solaiyappan, Siva Kumar Mahalingam, Lenin Nagarajan, Sachin Salunkhe, Emad Abouel Nasr, Ragavanantham Shanmugam, Hussein Mohammed Abdel Moneam Hussein

“…The TOPSIS algorithm was employed to convert multiple objectives into a single objective used in meta-heuristic algorithms. In the convergence plot for the MRR model, the PSO algorithm converged very quickly in 10 iterations, while GWO and MFO took 14 and 64 iterations, respectively. …”
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Hepatobiliary surgery based on intelligent image segmentation technology by Wang Fuchuan, Xiao Chaohui, Jia Tianye, Pan Liru, Du Fengxia, Wang Zhaohai

“…Intelligent optimization algorithm, also known as modern heuristic algorithm, is an algorithm with global optimization performance, strong universality, and suitable for parallel processing. …”
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Contention-aware routing for thermal-reliable optical networks-on-chip by Li, Mengquan, Liu, Weichen, Duong, Luan H. K., Chen, Peng, Yang, Lei, Xiao, Chunhua

“…Two routing approaches, including a mixed-integer linear programming (MILP) model and a heuristic algorithm (called CAR), are further proposed to minimize communication conflicts based on guaranteed thermal reliability, and meanwhile, maximize the communication energy efficiency in the presence of on-chip thermal variations. …”
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Thermal-aware task mapping on dynamically reconfigurable network-on-chip based multiprocessor system-on-chip by Liu, Weichen, Yang, Lei, Jiang, Weiwen, Feng, Liang, Guan, Nan, Zhang, Wei, Dutt, Nikil

“…We further present a novel heuristic algorithm for task mapping in dark silicon many-core systems, called TopoMap, on top of SMART architecture, which can effectively solve communication contention problem in polynomial time. …”
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New modified controlled bat algorithm for numerical optimization problem by Waqas Haider Bangyal, Abdul Hameed, Jamil Ahmad, Kashif Nisar, Muhammad Reazul Haque, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, M. Adil Khan, Danda B. Rawat, Richard Etengu

“…Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve diverse kinds of optimization problems. …”
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Advances in Mechanical and Energy Engineering : Selected, peer reviewed papers from XXII Internationales Symposium Research - Education - Technology, 4th International Conference L... by Internationales Symposium Research - Education - Technology : 4th International Conference Low Temperature and Waste Heat Use : September 24-25, 2015 : Bremen, Germany, Smolen, Slawomir, editor, Cieslinski, Janusz T., editor, Kropiwnicki, Jacek, editor

A new variant of black hole algorithm based on multi population and levy flight for clustering problem by Haneen Abdul Wahab, Abdul Raheem

“…Metaheuristic algorithm aims to search for global optimum in high dimensional problems. Meta-heuristic algorithm has been successfully implemented on data clustering problems seeking a near optimal solution in terms of quality of the resultant clusters. …”
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Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation by Hasneeza Liza, Zakaria

“…Specifically, the exploration and exploitation of existing strategies has been limited based on the (local and global) search operators derived from a single meta-heuristic algorithm. In this case, choosing a proper combination of search operators can be the key for achieving good performance (as hybridization can capitalize on the strengths and address the deficiencies of each individual algorithm in a collective and synergistic manner). …”
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An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

“…Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic algorithm which is appealing to researcher owing to its demonstrated performance as cited in the scientific literature. …”
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Similarity Downselection: Finding the <i>n</i> Most Dissimilar Molecular Conformers for Reference-Free Metabolomics by Felicity F. Nielson, Bill Kay, Stephen J. Young, Sean M. Colby, Ryan S. Renslow, Thomas O. Metz

“…SDS implements a heuristic algorithm for quickly finding the approximate set(s) of the <i>n</i> most dissimilar items. …”
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The application of equilibrium optimizer for solving modern economic load dispatch problem considering renewable energies and multiple-fuel thermal units by Hung Duc Nguyen, Khoa Hoang Truong, Nhuan An Le

“…Besides, this study also points out the difference in performance between a modern meta-heuristic algorithm (EO) and the classical one (PSO). The modern metaheuristic algorithm with special structure is highly valuable for complicated problem as MELD.…”
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Innovative Feature Selection Method Based on Hybrid Sine Cosine and Dipper Throated Optimization Algorithms by Abdelaziz A. Abdelhamid, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa Metwally Eid, Doaa Sami Khafaga, Amel Ali Alhussan, Seyedali Mirjalili, Nima Khodadadi, Wei Hong Lim, Mahmoud Y. Shams

“…Methodology: In this work, we propose a novel hybrid binary meta-heuristic algorithm to solve the feature selection problem by combining two algorithms: Dipper Throated Optimization (DTO) and Sine Cosine (SC) algorithm. …”
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On the Use of Gray Codes for Solving 0-1 Combinatorial Problems of Optimization in Environmental and Economic Systems by Oleksandr Trofymchuk, Volodymyr Vasyanin, Volodymyr Sokolov, Arkadii Chikrii, Liudmyla Ushakova

“…During the experiment, the accuracy of solving the problem by a “greedy” heuristic algorithm with time complexity O(n2) was also checked. …”
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DoFP&#x002B;: An HTTP/3-Based Adaptive Bitrate Approach Using Retransmission Techniques by Minh Nguyen, Daniele Lorenzi, Farzad Tashtarian, Hermann Hellwagner, Christian Timmerer

“…&#x201D; To address this question, in this paper, we introduce Days of Future Past&#x002B; (DoFP&#x002B; for short), a heuristic algorithm that takes advantage of the features of the latest HTTP version, HTTP/3, to provide high Quality of Experience (QoE) to the viewers. …”
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A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood by Alwadood, Zuraida

“…The model aims at achieving two goals, where the first objective function is to minimise the total delay time of all trains in the network, while the second objective function is to maximise the train service reliability. A novel heuristic algorithm named as Headway and Order Scheme (HOS) is introduced to solve the rescheduling model. …”
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Branch-and-Price and Heuristic Column Generation for the Generalized Truck-and-Trailer Routing Problem || Branch-and-Price y generación heurística de columnas para el problema gene... by Drexl, Michael

“…The results of the experiments show that instances of realistic structure and size can be solved in short time and with high solution quality by a heuristic algorithm based on column generation. || El problema generalizado de rutas de trenes de carretera (generalized truck-and-trailer routing problem, GTTRP) constituye un modelo unificado para problemas de rutas de vehículos con remolques y asignación fija camión-remolque. …”
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Environment-Aware Energy Efficient and Reliable Routing in Real-Time Multi-Sink Wireless Sensor Networks for Smart Cities Applications by Fatma H. El-Fouly, Mnaouer Kachout, Yasser Alharbi, Jalawi Sulaiman Alshudukhi, Abed Alanazi, Rabie A. Ramadan

“…Then, the paper proposes swarm intelligence to solve the optimization problem for large-scale multi-sink WSNs as a heuristic algorithm. The proposed algorithm is evaluated and analyzed compared with two recent algorithms, which are the most related to our proposal, SMRP and EERP protocols using an extensive set of experiments. …”
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