Heuristics Algorithms for a Heterogeneous Fleets VRP with Excessive Demand for the Vehicle at the Pickup Points, and the Longest Traveling Time Constraint: A Case Study in Prasitsu... by Sasitorn Kaewman, Raknoi Akararungruangkul

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Human resource management model based on multi-objective differential evolution and multi-skill scheduling by Yanxia Dong, Tiantian Lu

“…This study proposes an innovative human resource management model that integrates multi-objective differential evolution algorithm and learning curve model, and adopts a multidimensional chromosome encoding scheme for multi skill scheduling. …”
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Cosmic Evolution Optimization: A Novel Metaheuristic Algorithm for Numerical Optimization and Engineering Design by Rui Wang, Zhengxuan Jiang, Guowen Ding

“…This study proposes a novel metaheuristic algorithm, Cosmic Evolution Optimization (CEO), for numerical optimization and engineering design. …”
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Firefly algorithm with multiple learning ability based on gender difference by Wenning Zhang, Chongyang Jiao, Qinglei Zhou

“…To address these issues, a firefly algorithm with multiple learning ability based on gender difference (MLFA-GD) is proposed. …”
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Accuracy and precision of fixation locations recorded with the low-cost Eye Tribe tracker in different experimental set-ups by Kristien Ooms, Lien Dupont, Lieselot Lapon, Stanislav Popelka

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Evaluating Subpixel Target Detection Algorithms in Hyperspectral Imagery by Yuval Cohen, Yitzhak August, Dan G. Blumberg, Stanley R. Rotman

“…We demonstrate our ability to evaluate detectors and find the best settings for their free parameters by comparing our results using the following stochastic algorithms for target detection: the constrained energy minimization (CEM), generalized likelihood ratio test (GLRT), and adaptive coherence estimator (ACE) algorithms. …”
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Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and health survey 2016. by Daniel Niguse Mamo, Agmasie Damtew Walle, Eden Ketema Woldekidan, Jibril Bashir Adem, Yosef Haile Gebremariam, Meron Asmamaw Alemayehu, Ermias Bekele Enyew, Shimels Derso Kebede

“…This research aims to evaluate and compare the effectiveness of machine learning algorithms in predicting postnatal care utilization in Ethiopia and to identify the key factors involved. …”
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Assessment method on protection effectiveness of differential privacy algorithms based on fuzzy influence diagram by TIAN Yuechi, LI Fenghua, ZHOU Zejun, SUN Zhe, GUO Shoukun, NIU Ben

“…Formalization link was proposed to solve the problem of completely opposite algorithms with idential evaluation results. Comparative experiments on electricity-carbon analysis model demonstrate the proposed method can assess the protection effectiveness of differential privacy algorithms effectively. …”
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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations by V. Murugesh, M. Priyadharshini, T. R. Mahesh, Esmael Adem Esleman

“…In this paper, we introduce a new search algorithm called Thermodynamic Inspired Search Algorithm (TSA) for approximate solution to linear ODEs (LODEs), nonlinear ODEs (NLODEs) and systems of ODEs (SODEs). …”
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Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems by Ali Wagdy Mohamed, Abdulaziz S. Almazyad

“…This paper presents Differential Evolution algorithm for solving high-dimensional optimization problems over continuous space. …”
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Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique by Tran-Hieu Nguyen, Anh-Tuan Vu

“…This paper presents a method that integrates Differential Evolution (DE), a powerful optimization algorithm, and a machine learning classification model to minimize the weight of steel lattice towers. …”
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A Detailed Performance Evaluation of the GK2A Fog Detection Algorithm Using Ground-Based Visibility Meter Data (2021–2023, Part I) by Hyun-Kyoung Lee, Myoung-Seok Suh

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Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization by Mohammad Khishe, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Laith Abualigah

“…In this study, the recently developed hierarchical population‐based differential evolution (HPDE) was employed for parameter optimization of PEMFCs due to its robustness and demonstrated superiority over other optimization algorithms. …”
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A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization by Abdelraouf Ishtaiwi, Ahmad Sami Al-Shamayleh, Hussam N. Fakhouri

“…JADESCA, a hybrid algorithm that combines elements of JADE (differential evolution with adaptive parameters) and the sine cosine algorithm (SCA), is evaluated against a range of benchmark functions from the CEC2022 competition as well as specific engineering problems. …”
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Evolution of Algorithms and Applications for Unmanned Surface Vehicles in the Context of Small Craft: A Systematic Review by Luis Castano-Londono, Stefany del Pilar Marrugo Llorente, Edwin Paipa-Sanabria, María Belén Orozco-Lopez, David Ignacio Fuentes Montaña, Daniel Gonzalez Montoya

“…This combined methodological approach facilitated a systematic and transparent evaluation of the literature. This study was developed based on three research questions about the evolution of research topics, areas of application, and types of algorithms related to USVs. …”
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Optimal Operation of Multi-Source Power Generation System with Electric Heater and Concentrating Solar Power Plant Considering Conditional Risk Cost by Chunhua PENG, Yi LIU, Huijuan SUN

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Learning and Evolution: Factors Influencing an Effective Combination by Paolo Pagliuca

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Opportunities and challenges of multidisciplinary algorithmic impact assessments by Juana Catalina Becerra Sandoval, Felicia Jing, Adriana Alvarado Garcia, Sara E. Berger, Heloisa Candello, Caitlin Lustig

“…However, the evaluation of computational and algorithmic systems has largely been approached through a uni-modal and uni-disciplinary perspective that heavily privileges computer science and engineering disciplines. …”
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An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning by Xue Wang, Shiyuan Zhou, Zijia Wang, Xiaoyun Xia, Yaolong Duan

“…Second, recognizing the sensitivity of population diversity to Logistic Chaotic Mapping in a traditional Human Evolution Optimization Algorithm (HEOA), an opposition-based learning strategy is employed to uniformly initialize the population distribution, thereby enhancing the algorithm’s global optimization capability. …”
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Design and Performance Optimization of a Radial Turbine Using Hydrogen Combustion Products by Pengfei Su, Weifeng He, Abdalazeem Adam, Omer Musa, Wang Chen, Zeyu Lou

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