Optimizing cluster head selection in wireless sensor networks using firefly and genetics algorithm by Navid Moshtaghi Yazdani, Mohammad Hasan Olyaei Torqabeh

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Presenting and Solving a Three-layer Supply Chain Model to Maximize Quality and Minimize the Estimated Delivery Time by Elham Nazemi, Mahdi Yousefi Nejad Attari, Mahdi Ghaffari

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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

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Our Interplanetary Bodies by Marie Siguier

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Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey by Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha

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Design of a sustainable supply chain network of biomass renewable energy in the case of disruption by Leila Aslani, Atefeh Hasan-Zadeh, Yousef Kazemzadeh, Amir-Hosein Sheikh-Azadi

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Cluster validity indices for automatic clustering: A comprehensive review by Abiodun M. Ikotun, Faustin Habyarimana, Absalom E. Ezugwu

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Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms by Ammara Masood, Adel Ali Al-Jumaily

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An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems by Angus Wu, Zhen-Lun Yang

“…Investigating on 15-unit, 40-unit, and 140-unit widely used test systems, through performance comparison, the proposed DEB-QPSO algorithm is able to obtain higher-quality solutions efficiently and stably superior than the other the state-of-the-art algorithms.…”
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Sizing a Hybrid Renewable Energy System by a Coevolutionary Multiobjective Optimization Algorithm by Wenhua Li, Guo Zhang, Xu Yang, Zhang Tao, Hu Xu

“…Experimental results show that, compared to other state-of-the-art methods, the proposed algorithm is competitive in solving HRES problems.…”
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An adjoint feature-selection-based evolutionary algorithm for sparse large-scale multiobjective optimization by Panpan Zhang, Hang Yin, Ye Tian, Xingyi Zhang

“…Experiments are conducted on eight benchmark problems and two real-world problems, and experimental results verify that the proposed algorithm outperforms the existing state-of-the-art evolutionary algorithms for solving sparse LSMOPs.…”
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Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons by K. Jayasree, Malaya Kumar Hota

“…The proposed approach is compared with the state-of-the-art methods using AUC, F1-score, Recall, and Precision. …”
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Performance Prediction of Building Integrated Photovoltaic System Using Hybrid Deep Learning Algorithm by Manivannan Ragupathi, Rengaraj Ramasubbu

“…The proposed approach consistently outperformed state-of-the-art single-timescale forecasting algorithms across all time scales.…”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

“…SPNN-DMOA only needs to maintain non-dominated solutions in proximity to special points, which reduces the computational complexity in the dynamic evolution process. The proposed algorithm has been compared with other state-of-the-art algorithms on a series of benchmark problems, demonstrating its superior performance in optimizing DMOPs.…”
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Optimal Pattern Synthesis of Linear Antenna Array Using Grey Wolf Optimization Algorithm by Prerna Saxena, Ashwin Kothari

“…Various examples are presented that illustrate the application of GWO for linear array optimization and, subsequently, the results are validated by benchmarking with results obtained using other state-of-the-art nature-inspired evolutionary algorithms. The results suggest that optimization of linear antenna arrays using GWO provides considerable enhancements compared to the uniform array and the synthesis obtained from other optimization techniques.…”
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A Rough Penalty Genetic Algorithm for Multicast Routing in Mobile Ad Hoc Networks by Chih-Hao Lin, Chia-Chun Chuang

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An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems by Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen

“…The results show that the proposed IGWO has a balanced E&P capability in coping with global optimization as analyzed by the Wilcoxon rank sum and Friedman tests, and has a clear advantage over other state-of-the-art algorithms.…”
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A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks by Pedro Pereira Rodrigues, João Araújo, João Gama, Luís Lopes

“…However, centralized algorithms force communication and storage requirements to grow unbounded. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…Further evaluations on multidimensional CEC 2014 test problems, including 30-dimensional cases, reveal improved performance over widely used optimization algorithms and state-of-the-art (SOTA) algorithms. Furthermore, CMACGSA consistently achieves top-tier average performance metrics when benchmarked against four well-established GSA variants. …”
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New blocked all-pairs shortest paths algorithms operating on blocks of unequal sizes by A. A. Prihozhy, O. N. Karasik

“…The contribution of the paper is the development of a new family of blocked APSP algorithms which can handle blocks of unequal sizes, save and extend the advantages of the state-of-the-art algorithms operating on blocks of equal sizes. …”
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