Optimal Design for an Extruder Head Runner Based on Response Surface Method and Simulated Annealing Algorithm by Haichao Zhou, Zhen Jiang, Wenchao Li, Guolin Wang, Yongjie Tu

“…The response surface model was optimized using the simulated annealing (SA) algorithm, and the optimal key factors of the head runner were obtained. …”
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Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm by Bala Abdullahi Magaji, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

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Systematic Initialization Approaches for Portfolio Optimization Problems by Mehmet Altinoz, O. Tolga Altinoz

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Retracted: Research on Optimal Control Method of Tennis Racket String Diameter Based on Kalman Filter Algorithm by Journal of Electrical and Computer Engineering

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Performance analysis of a filtering variational quantum algorithm by Gabriel Marin-Sanchez, David Amaro

“…The filtering variational quantum eigensolver (F-VQE) is a variational hybrid quantum algorithm designed to solve combinatorial optimization problems on existing quantum computers with limited qubit number, connectivity, and fidelity. …”
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PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image by ZHU Liang-kuan, SHAO Si-xie, JING Wei-peng, LIU Liang

“…Forest canopy image segmentation is a key step to forest canopy parameters using digital image processing methods According to the characteristics of forest canopy fisheye images with complex background and high resolution, this paper proposed a PSOoptimized forest canopy image decomposition Otsu method 3D segmentation algorithm In this method, the 3D OTSU was decomposed, which reduced the computing time and storage space, and the PSO algorithm was adopted to optimize the twodimensional Otsu to obtain the threshold process Experimental results showed that the algorithm proposed in this paper can quickly and accurately segment the fisheye images of forest canopy, especially in the details of treetops The proposed method can provide a technical support for forest canopy parameters measurement…”
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Memetic Salp Swarm Algorithm for economic load dispatch problems by Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Malik Braik, Raed Abu Zitar, Khaled Assaleh, Mahmud Alkoffash, Qusai Yousef Shambour

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Automatic Super-linear Self-Scaling VM-algorithm by Abbas Al-Bayati, Maha Al-Salih

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Probabilistic computing with percolating nanoparticle networks using experimental data with signatures of criticality by Sofie J Studholme, Joshua B Mallinson, Jamie K Steel, Simon A Brown

“…In particular, electrical spiking in PNNs meets criteria for criticality, which is thought to be the operating point for biological brains and associated with optimal computation. Previous work showed through simulations that spiking PNNs can be used as the core stochastic component in a probabilistic computing scheme. …”
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Dynamic Stepsize Techniques in DR-Submodular Maximization by Yanfei Li, Min Li, Qian Liu, Yang Zhou

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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

“…To address the current issue of large computations and the difficulty in balancing model complexity and detection accuracy in pavement defect detection models, a lightweight pavement defect detection algorithm, PGS-YOLO, is proposed based on YOLOv8, which integrates perception enhancement and feature optimization. …”
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A Sufficient Descent 3-Term Conjugate Gradient Method for Unconstrained Optimization Algorithm by Ghada Moayid Al-Naemi, Samaa AbdulQader

“… In recent years, 3-term conjugate gradient algorithms (TT-CG) have sparked interest for large scale unconstrained optimization algorithms due to appealing practical factors, such as simple computation, low memory requirement, better sufficient descent property, and strong global convergence property. …”
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Enhanced genetic algorithm for indoor low-illumination stereo matching energy function optimization by Zhang Hongjin, Wei Hui

“…Additionally, the algorithm achieves a lower computational complexity of O(H), offering significant improvements in resource efficiency compared to standard algorithms. …”
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Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification by Xu Yong, Sang Bicong, Zhang Yi

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Prioritized Multi‐Step Decision‐Making Gray Wolf Optimization Algorithm for Engineering Applications by Idriss Dagal, Alpaslan Demirci, Ambe Harrison, Wulfran Fendzi Mbasso, Said Mirza Tercan, Burak Akın, Kürşat Tanriöven, Havva Aysun Sezgin Köksal, Ahmet Nayir

“…This visual representation highlights the computational efficiency of PMS‐GWO compared to other algorithms. …”
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Optimization of hybrid-forecasting algorithm parameters using a model ensemble in real time by Elena A. Kochegurova, Sofia M. Saybert, Ksenia V. Tatyankina

“…This made it possible to increase the efficiency of the recurrent P-spline as a real-time forecasting model, reduce computational costs and increase the performance of forecasting algorithms.…”
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Pedestrian Re-Recognition Algorithm Based on Optimization Deep Learning-Sequence Memory Model by Feng-Ping An

“…Based on the above explanation, this paper proposes a pedestrian re-recognition algorithm based on an optimized LSTM deep learning-sequence memory learning model. …”
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An optimized cubic B-spline algorithm for high-precision approximation of nonlinear transport phenomena by Rabia Noureen, Muhammad Kashif Iqbal, Maryam Asgir, Bandar Almohsen, Muhammad Azeem, Husam A. Neamah

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Human Motion Data Retrieval Based on Staged Dynamic Time Deformation Optimization Algorithm by Hongshu Bao, Xiang Yao

“…This paper designs the optimization method of the phased dynamic time deformation algorithm in time efficiency and analyzes the optimization method of the phased dynamic time deformation algorithm in time complexity. …”
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An artificial intelligence technique: experimental analysis of population-based physarum-energy optimization algorithm by Mehmet Fatih Demiral

“…The computational results show that the PEOs and their hybrids (k-NN, 2-opt, 3-opt, k-opt) can find high-quality results compared to the original physarum-energy optimization algorithm (PEO), ant colony optimization (ACO), black hole algorithm (BH), tabu search (TS), and other hybrid algorithms such as whale optimization algorithm + 4-opt heuristic (WOA + 4-opt), camel algorithm + 4-opt heuristic (CA + 4-opt), genetic algorithm + 2-opt heuristic (GA + 2-opt), and the k-NN, 2-opt, 3-opt, k-opt algorithms. …”
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