A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Lamees Mohammad Dalbah, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Raed Abu Zitar

“…Capacitated Vehicle routing problem is NP-hard scheduling problem in which the main concern is to find the best routes with minimum cost for a number of vehicles serving a number of scattered customers under some vehicle capacity constraint. Due to the complex nature of the capacitated vehicle routing problem, metaheuristic optimization algorithms are widely used for tackling this type of challenge. …”
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A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks by Péter Veres

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A Biased–Randomized Iterated Local Search with Round-Robin for the Periodic Vehicle Routing Problem by Juan F. Gomez, Antonio R. Uguina, Javier Panadero, Angel A. Juan

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Population-Based Redundancy Control in Genetic Algorithms: Enhancing Max-Cut Optimization by Yong-Hyuk Kim, Zong Woo Geem, Yourim Yoon

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Artificial Optimizer Algorithm for Power System Stabilizer design problem and multidisciplinary engineering applications by Narinder Singh, Mandeep Kaur, Essam H. Houssein

“…The results validate that VROA can offer efficient and accurate optimal solutions in evaluation with recent metaheuristics.…”
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Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Ahmed Gouda Mohamed, Ali Hassan Ali, Ahmed Adel Abdelhady

“…Each sub-task is systematically evaluated to identify the optimal construction method based on cost-time trade-offs, with scheduling constraints integrated into the fitness functions of both GA and PSO. …”
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An Enhanced Artificial Lemming Algorithm and Its Application in UAV Path Planning by Xuemei Zhu, Chaochuan Jia, Jiangdong Zhao, Chunyang Xia, Wei Peng, Ji Huang, Ling Li

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Multi-criteria vehicle routing problem for a real-life parcel locker-based delivery by Radosław Idzikowski, Jarosław Rudy, Michał Jaroszczuk

“…Three solving methods, relying on the concept of Pareto-optimality, are proposed: a greedy constructive heuristic, a Tabu Search metaheuristic and a Genetic Algorithm. …”
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Plane Frame Structures: Optimization and Design Solutions Clustering by Joana S. D. Gaspar, Maria A. R. Loja, Joaquim I. Barbosa

“…To this purpose, a metaheuristic optimization method is used to obtain the optimal design solutions for discrete plane frame structures considering as objective function the minimization of their maximum resultant displacement, subjected to side and behavioral constraints. …”
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Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects by Sukriti Patty, Rajeev Das, Dharmadas Mandal, Provas Kumar Roy

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Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

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Advanced Planning Systems in Production Planning Control: An Ethical and Sustainable Perspective in Fashion Sector by Martina De Giovanni, Mariangela Lazoi, Romeo Bandinelli, Virginia Fani

“…The integration of metaheuristic algorithms—especially Ant Colony Optimization (ACO) and hybrid models like GA-ACO—further improves optimization performance by offering high-quality, near-optimal solutions without requiring extensive structural modeling. …”
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A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping by Radhwan A. Saleh, Ahmed M. Al-Areeq, Amran A. Al Aghbari, Mustafa Ghaleb, Mohammed Benaafi, Nabil M. Al‑Areeq, Baqer M. Al-Ramadan

“…To enhance predictive accuracy, we integrate metaheuristic feature selection with ensemble learning models. …”
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OPTIMIZATION OF NONLINEAR STOCHASTIC SYSTEMS IN THE SPECTRAL CHARACTERISTICS OF CONTROLS by K. A. Rybakov

“…This nonlinear equations system solving method does not depend on the chosen basis, it is solved either with iterative methods or with reducing it to the equivalent method of unconditional optimization with the following usage of zero-order method, including metaheuristic methods global extremum search. …”
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Cooperative Path Planning for Multi-UAVs with Time-Varying Communication and Energy Consumption Constraints by Jia Guo, Minggang Gan, Kang Hu

“…In the field of Unmanned Aerial Vehicle (UAV) path planning, designing efficient, safe, and feasible trajectories in complex, dynamic environments poses substantial challenges. Traditional optimization methods often struggle to address the multidimensional nature of these problems, particularly when considering constraints like obstacle avoidance, energy efficiency, and real-time responsiveness. …”
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Enhanced Transmission Expansion Planning With a High Confidence Strategy Considering Fluctuations in Solar PV Generation and Electricity Demand by Siripat Somchit, Niphon Kaewdornhan, Rongrit Chatthaworn

“…Moreover, power system operation constraints are calculated through a probabilistic power flow with a 95% confidence level. …”
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Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing by Umesh Kumar Lilhore, Sarita Simaiya, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Yogesh Kumar Sharma, Roobaea Alroobaea, Hamed Alsufyani, Majed Alsafyani, M. D. Monish Khan

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A new tree-based data aggregation method in the wireless sensor networks using Ant Colony Optimization and Cuckoo search algorithms by Shuling Yin, Jiahai Tu, Xiaoyan Chen

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A Low-Carbon Scheduling Method for Container Intermodal Transport Using an Improved Grey Wolf–Harris Hawks Hybrid Algorithm by Meixian Jiang, Shuying Lv, Yuqiu Zhang, Fan Wu, Zhi Pei, Guanghua Wu

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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

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