An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…As a promising alternative, evolutionary algorithms—rooted in the principles of natural selection—have demonstrated strong potential for addressing complex optimization problems due to their gradient-free nature and inherent suitability for parallel computation. …”
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Modeling of 3 SAT discrete Hopfield neural network optimization using genetic algorithm optimized K-modes clustering by Xiaojun Xie, Saratha Sathasivam, Hong Ma

“…Subsequently, the paper presented a DHNN-3SAT model optimized by genetic algorithms combined with K-modes clustering. …”
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Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization by Bamidele A. Dada, Nnamdi I. Nwulu, Seun O. Olukanmi

“…In addition, it examines 2,000 random surface soil samples, ranging from 0 to 20 cm, that were optimized using genetic algorithms (GA), particle swarm optimization (PSO), and Optuna. …”
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Optimal design of 10‐bit single‐slope ADC for CMOS image sensor based on swarm intelligent optimization algorithm by Yan‐Hua Ma, Ji‐Tong Li, Ming Zhu, Yu‐Chun Chang

“…Then, IAFSOA is developed for the circuit parameters optimization with faster convergence rate and higher computational accuracy. …”
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A Novel Optimization Algorithm Inspired by Egyptian Stray Dogs for Solving Multi-Objective Optimal Power Flow Problems by Mohamed H. ElMessmary, Hatem Y. Diab, Mahmoud Abdelsalam, Mona F. Moussa

“…The solution space for OPF is massive and multimodal, making optimization a challenging concern that calls for advanced mathematics and computational methods. …”
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Energy optimization in intelligent sensor networks: application of particle swarm optimization algorithm in the deployment of electronic information sensing nodes by Wang Liang

“…This research presents a Particle Swarm Optimization (PSO) algorithm to optimize the deployment of electronic information sensing nodes. …”
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Wind Farm Layout Optimization/Expansion of Real Wind Turbines with a Parallel Collaborative Multi-Objective Optimization Algorithm by Houssem R. E. H. Bouchekara, Makbul A. M. Ramli, Mohammad S. Javaid

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An innovative coverage optimization method for smart information monitoring in agricultural IoT using the multi-strategy Pelican optimization algorithm by Wei Chen, Qike Cao, Bingyu Cao, Bo Jin

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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…Space trajectory planning is a complex combinatorial problem that requires selecting discrete sequences of celestial bodies while simultaneously optimizing continuous transfer parameters. Traditional optimization methods struggle with the increasing computational complexity as the number of possible targets grows. …”
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A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

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Artificial Intelligence overview for optimizing production scheduling in a picture framing company by Krupnik-Worek Jadwiga, Skoczypiec Sebastian, Habel Jacek

“…Scheduling quality was measured by minimizing makespan and comparing computational efficiency. The genetic algorithm outperformed complete search, scheduling 70 orders on 10 machines in just over 500 ms, significantly reducing computational time. …”
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Optimizing the Scheduling of Teaching Activities in a Faculty by Francis Patrick Diallo, Cătălin Tudose

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Optimization of the Operation Rule Curves for Cascade Reservoirs Using the Cuckoo Search Algorithm by Ismail Ara, Mutlu Yasar

“…In this study, the optimal operation rule curves for cascaded reservoirs were obtained by using the cuckoo search algorithm, which is a soft computing method. …”
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Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization by Sebastián V. Romero, Anne-Maria Visuri, Alejandro Gomez Cadavid, Anton Simen, Enrique Solano, Narendra N. Hegade

“…While classical computing often struggles with complex instances, quantum optimization emerges as a promising alternative. …”
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Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…The developed algorithm was named BOA-MLP where the BOA algorithm optimized the values of the weights and biases in the MLP. …”
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An Optimized Genetic Algorithm-Based Wavelet Image Fusion Technique for PCB Detection by Tongpo Zhang, Qingze Yin, Shibo Li, Tiantian Guo, Ziyu Fan

“…This study proposes an optimized genetic algorithm-based wavelet image fusion technique for printed circuit board (PCB) detection, incorporating an improved Genetic Algorithm (GA) with the Elite Strategy and integrating it with discrete wavelet transform (DWT). …”
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Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization by Zan Yang, Chen Jiang, Jiansheng Liu

“…Abstract This paper proposes a surrogate-assisted dynamic population optimization algorithm (SDPOA) for the purpose of solving computationally expensive constrained optimization problems, in which the population is dynamically updated based on the real-time iteration information to achieve targeted searches for solutions with different qualities. …”
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A Neural Network: Family Competition Genetic Algorithm and Its Applications in Electromagnetic Optimization by P.-Y. Chen, C.-H. Chen, H. Wang

“…This study proposes a neural network-family competition genetic algorithm (NN-FCGA) for solving the electromagnetic (EM) optimization and other general-purpose optimization problems. …”
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Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine by Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable

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A binary grasshopper optimization algorithm for solving uncapacitated facility location problem by Ahmet Babalik, Aybuke Babadag

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