Research on Multi-Target Point Path Planning Based on APF and Improved Bidirectional RRT* Fusion Algorithm by Zijian Bian, Gang Li, Xizheng Wang

“…A multi-target point heuristic planning strategy is proposed to achieve shorter global paths while maintaining shorter local paths, taking into account both local solutions and optimal solutions, so that the fusion algorithm can be applied to the path planning of multi-target points.…”
Get full text

Solving Integer Ambiguity Based on an Improved Ant Lion Algorithm by Wuzheng Guo, Yuanfa Ji, Xiyan Sun, Xizi Jia

“…First, the performance of the SAALO algorithm was evaluated by comparing its solving speed and success rate with those of the Ant Lion Optimization Algorithm (ALO), the LAMBDA algorithm and the MLAMBDA algorithm. …”
Get full text

Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…The sensor measurements were compared with the actual values to verify the effectiveness of the GWO-PSO-optimized BP neural network model. Once experimentally verified, the improved GWO-PSO algorithm achieves a correlation coefficient R of 0.96929, a prediction accuracy rate of 96.10%, and a prediction error rate of only 3.9%, while the system monitors an accurate early warning rate of 96.07%, and the false alarm and omission rates are both less than 5%. …”
Get full text

Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…This work will present a novel honeyword generation method that uses a proposed discrete salp swarm algorithm. The salp swarm algorithm (SSA) is a bio-inspired metaheuristic optimization algorithm that imitates the swarming behavior of salps in their natural environment. …”
Get full text

Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management by Hubert Zarzycki

“…BFO, a nature-inspired algorithm, is employed to construct diversified portfolios, while risk management strategies, including stop-loss limits and transaction cost considerations, enhance risk control. …”
Get full text

Dynamically optimal models of atmospheric motion by A. G. Voronovich

“…</p></li><li> <p id="d2e91">The spatial resolution can be adjusted locally while executing calculations.</p></li><li> <p id="d2e95">By using a set of tetrahedra as finite elements the algorithm ensures a better representation of the topography (piecewise linear rather than staircase).…”
Get full text

MODELING AND OPTIMIZATION OF VEHICLE SUSPENSION OSCILLATIONS by N. N. Hurski, A. Kader Karami

“…Results on optimization of suspension oscillations by minimum vibro-acceleration  of cushioned mass while a vehicle is moving within the preset speed interval are presented in the paper.…”
Get full text

Comprehensive Research on Energy Saving Synergy Optimization and Optimal Real-time Control of Hybrid Electric Mining Trucks by Li Hongliang, Zhang Guojing, Fan Ping

“…The optimal energy distribution can be achieved while optimizing the transmission parameters. …”
Get full text

Hybrid Adaptive Sheep Flock Optimization and Gradient Descent Optimization for Energy Management in a Grid-Connected Microgrid by Sri Harish Nandigam, Krishna Mohan Reddy Pothireddy, K. Nageswara Rao, Surender Reddy Salkuti

“…The ASFO algorithm offers robust global search capabilities to explore complex search spaces, while GDO safeguards precise local convergence to optimize the dispatch schedule and energy cost and maximize renewable energy utilization. …”
Get full text

Distributed Constraint Optimization with Flocking Behavior by Zhengquan Yang, Qing Zhang, Zengqiang Chen

“…Then, it is proved that all agents track the optimal velocity while avoiding collisions. The proof of the main result is divided into three steps: global set convergence, consensus analysis, and optimal set convergence. …”
Get full text

Machine Learning G-Code Optimization by Héctor Lasluisa-Naranjo, David Rivas-Lalaleo, Joaquín Vaquero-López, Christian Cruz-Moposita

“…This research applies the K-means machine learning clustering algorithm to optimize G-code parameters such as extruder and heated bed temperature, deposition speed, and flow control. …”
Get full text

Flexible Demand Side Management in Smart Cities: Integrating Diverse User Profiles and Multiple Objectives by Nuno Souza e Silva, Paulo Ferrão

“…Initially, a single-objective optimization approach using Genetic Algorithms (GAs) is employed to minimize the total energy cost under a real Time-of-Use (ToU) pricing scheme. …”
Get full text

Decision-Making Model for Life Cycle Management of Aircraft Components by Igor Kabashkin, Vitaly Susanin

“…The optimization method on the base of genetic algorithm (GA) is employed to minimize total life cycle costs while maintaining component reliability within acceptable thresholds. …”
Get full text

Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI by Yaohui Wu, Youming Li, Liping Jin, Pengfei Shao

“…In order to solve this problem, a fair resource allocation algorithm was proposed to maximize the system ergodic capacity, while the fairness could be adjusted flexibly by introducing the fairness relaxation factor. …”
Get full text

Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI by Yaohui Wu, Youming Li, Liping Jin, Pengfei Shao

“…In order to solve this problem, a fair resource allocation algorithm was proposed to maximize the system ergodic capacity, while the fairness could be adjusted flexibly by introducing the fairness relaxation factor. …”
Get full text

Algorithms to reconstruct past indels: The deletion-only parsimony problem. by Jordan Moutet, Eric Rivals, Fabio Pardi

“…When sequences can only undergo substitutions, optimal reconstructions can be efficiently computed using well-known algorithms. …”
Get full text

Planning trajectory for UAVs using the self-organizing migrating algorithm. by Quoc Bao Diep, Thanh-Cong Truong, Ivan Zelinka

“…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …”
Get full text

Topology Knapsack Problem for Geometry Optimization by Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao

“…While several variants have been developed, including the 0/1, fractional, and multi-dimensional knapsack problems, no existing model simultaneously optimizes multiple attributes like rarity, importance, and preference alongside the weight and volume of items. …”
Get full text

An Improved Small Target Detection Algorithm Based on YOLOv8s by G. Ma, C. Xu, Z. Xu, X. Song

“…To address these challenges, this pa¬per proposes an enhanced small object detection algorithm, SOD-YOLO, based on YOLOv8s. First, the S_C2f_CAFM module is integrated into the feature extraction network, enabling the effective capture of fine-grained local features and broad contextual information, while simultaneously reducing model parameters and computational complexity. …”
Get full text

Deep learning algorithms for detecting fractured instruments in root canals by Ekin Deniz Çatmabacak, İrem Çetinkaya

Get full text