Suchergebnisse - Multi-strategy improved shale optimization algorithm*

Geological disaster risk assessment based on remote sensing, GIS, and a multi-strategy improved GWO-optimized Elman neural network.

Autoren: Chen, Kuayue Bai, Fuhong Wang, Ting et al.

Quelle: International Journal of Digital Earth; Dec2025, Vol. 18 Issue 1, p1-28, 28p

Schlagwörter: RISK assessment, REMOTE sensing, ARTIFICIAL neural networks, METADATA, GREY Wolf Optimizer algorithm, GEOGRAPHIC information systems, CATASTROPHISM

Geografische Kategorien: WENCHUAN Xian (Sichuan Sheng, China)

Intelligent Optimization of Single-Stand Control in Directional Drilling with Single-Bent-Housing Motors.

Autoren: Yin, Hu Long, Yihao Li, Qian et al.

Quelle: Processes; Aug2025, Vol. 13 Issue 8, p2593, 20p

Schlagwörter: DIRECTIONAL drilling, OPTIMIZATION algorithms, MATHEMATICAL optimization, MATHEMATICAL programming

An Enhanced Grasshopper Optimization Algorithm with Outpost and Multi-Population Mechanisms for Dolomite Lithology Prediction.

Autoren: Yu, Xinya Zunu, Parhat

Quelle: Biomimetics (2313-7673); Aug2025, Vol. 10 Issue 8, p494, 22p

Schlagwörter: OPTIMIZATION algorithms, ROCK properties, ALGORITHMS, MATHEMATICAL optimization, MATHEMATICAL programming

CCESC: A Crisscross-Enhanced Escape Algorithm for Global and Reservoir Production Optimization.

Autoren: Zhao, Youdao Li, Xiangdong

Quelle: Biomimetics (2313-7673); Aug2025, Vol. 10 Issue 8, p529, 20p

Schlagwörter: GLOBAL optimization, OPTIMIZATION algorithms, INFORMATION sharing, SELF-organizing systems, NET present value, BENCHMARK problems (Computer science), MATHEMATICAL optimization

An Enhanced Moss Growth Optimization Algorithm with Outpost Mechanism and Early Stopping Strategy for Production Optimization in Tight Reservoirs.

Autoren: Wang, Chenglong Tan, Chengqian Cheng, Youyou

Quelle: Biomimetics (2313-7673); Oct2025, Vol. 10 Issue 10, p704, 25p

Schlagwörter: GLOBAL optimization, PETROLEUM reservoirs, OPTIMIZATION algorithms, RESOURCE allocation, METAHEURISTIC algorithms

Prediction of Sulfur Dioxide Emissions in China Using Novel CSLDDBO-Optimized PGM(1, N) Model.

Autoren: Cui, Lele Hu, Gang Hussien, Abdelazim G.

Quelle: Mathematics (2227-7390); Sep2025, Vol. 13 Issue 17, p2846, 37p

Schlagwörter: SULFUR dioxide, PREDICTION models, ENERGY consumption, MATHEMATICAL optimization, OPTIMIZATION algorithms, ENVIRONMENTAL impact analysis

Geografische Kategorien: CHINA

Precise Lithological Mapping Using HHO-Optimized Deep ResNet-18 and GoogleNet CNN Models.

Autoren: Bahrami, Yousef Hassani, Hossein Maghsoudi, Abbas

Quelle: Natural Resources Research; Oct2025, Vol. 34 Issue 5, p2467-2507, 41p

Schlagwörter: CONVOLUTIONAL neural networks, GEOLOGICAL mapping, GEOLOGICAL research, DEEP learning, ARTIFICIAL neural networks, REMOTE sensing, MATHEMATICAL optimization

Inversion of Mechanical Parameters of Tunnel Surrounding Rock Based on Improved GWO-BP Neural Network.

Autoren: Zhang, Chen Chen, Qiunan Zhou, Wenbing et al.

Quelle: Applied Sciences (2076-3417); Jan2025, Vol. 15 Issue 2, p537, 20p

Schlagwörter: TUNNEL design & construction, DISPLACEMENT (Mechanics), ROCK mechanics, SEARCH algorithms, ENGINEERING simulations

A survey on multi-objective, model-based, oil and gas field development optimization: Current status and future directions.

Autoren: Rostamian, Auref Bernardelli de Moraes, Matheus Jose Schiozer, Denis et al.

Quelle: Petroleum Science (KeAi Communications Co.); Jan2025, Vol. 22 Issue 1, p508-526, 19p

Schlagwörter: OPTIMIZATION algorithms, MULTI-objective optimization, NET present value, MATHEMATICAL optimization, OIL fields

PM 2.5 Concentration Prediction Based on LightGBM Optimized by Adaptive Multi-Strategy Enhanced Sparrow Search Algorithm.

Autoren: Liu, Xuehu Zhao, Kexin Liu, Zuhan et al.

Quelle: Atmosphere; Nov2023, Vol. 14 Issue 11, p1612, 24p

Schlagwörter: OPTIMIZATION algorithms, COMPLEX variables, AIR quality, FORECASTING, MACHINE learning, STATISTICAL correlation

Hybrid Arctic Puffin Algorithm for Solving Design Optimization Problems.

Autoren: Fakhouri, Hussam N. Alkhalaileh, Mohannad S. Hamad, Faten et al.

Quelle: Algorithms; Dec2024, Vol. 17 Issue 12, p589, 38p

Schlagwörter: OPTIMIZATION algorithms, METAHEURISTIC algorithms, EVOLUTIONARY algorithms, ENGINEERING design, FORAGING behavior

Review of the grey wolf optimization algorithm: variants and applications.

Autoren: Liu, Yunyun As'arry, Azizan Hassan, Mohd Khair et al.

Quelle: Neural Computing & Applications; Feb2024, Vol. 36 Issue 6, p2713-2735, 23p

Schlagwörter: OPTIMIZATION algorithms, GREY Wolf Optimizer algorithm, WOLVES, SWARM intelligence, COMPUTER science, CHEMICAL engineering

Study on settlement prediction of soft ground considering multiple feature parameters based on ISSA-RF model.

Autoren: Sun, Changshuai Yu, Tianwen Li, Min et al.

Quelle: Scientific Reports; 3/1/2024, Vol. 14 Issue 1, p1-14, 14p

Schlagwörter: PARTICLE swarm optimization, SEARCH algorithms, RANDOM forest algorithms

Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble.

Autoren: Wang, Qinghong Ma, Tianxing Yang, Shengqi et al.

Quelle: Geomechanics & Geophysics for Geo-Energy & Geo-Resources; 1/23/2025, Vol. 11 Issue 1, p1-21, 21p

A Novel Snow Leopard Optimization for High-Dimensional Feature Selection Problems.

Autoren: Guo, Jia Ye, Wenhao Wang, Dong et al.

Quelle: Sensors (14248220); Nov2024, Vol. 24 Issue 22, p7161, 30p

Schlagwörter: SNOW leopard, FEATURE selection, NEIGHBORHOODS, ALGORITHMS

Interpretable soft computing deep ensemble model for predicting deformation of surrounding rock in deep tunnels.

Autoren: Chen, Xuanhao Fan, Rong Li, Yang et al.

Quelle: European Journal of Environmental & Civil Engineering; Dec2025, Vol. 29 Issue 16, p3608-3650, 43p

Schlagwörter: DEEP learning, MACHINE learning, TUNNEL design & construction, GEOLOGY, PREDICTION models, ENSEMBLE learning, SAFETY standards, DECISION making

Prediction of Flyrock Distance in Surface Mining Using a Novel Hybrid Model of Harris Hawks Optimization with Multi-strategies-based Support Vector Regression.

Autoren: Li, Chuanqi Zhou, Jian Du, Kun et al.

Quelle: Natural Resources Research; Dec2023, Vol. 32 Issue 6, p2995-3023, 29p

Schlagwörter: STRIP mining, STANDARD deviations, BACK propagation, MACHINE learning

A Wireless Sensor Network-Based Combustible Gas Detection System Using PSO-DBO-Optimized BP Neural Network.

Autoren: Zhou, Min Wang, Sen Li, Jianming et al.

Quelle: Sensors (14248220); May2025, Vol. 25 Issue 10, p3151, 23p

Schlagwörter: PARTICLE swarm optimization, SENSOR arrays, DUNG beetles, BACK propagation, INDUSTRIAL safety, WIRELESS sensor networks

Improved Salp Swarm Algorithm with mutation schemes for solving global optimization and engineering problems.

Autoren: Nautiyal, Bhaskar Prakash, Rishi Vimal, Vrince et al.

Quelle: Engineering with Computers; 2022 Suppl, Vol. 38, p3927-3949, 23p

Performance optimization of annealing salp swarm algorithm: frameworks and applications for engineering design.

Autoren: Jiuman Song Chengcheng Chen Heidari, Ali Asghar et al.

Quelle: Journal of Computational Design & Engineering; Apr2022, Vol. 9 Issue 2, p633-669, 37p, 4 Diagrams, 21 Charts, 7 Graphs

Schlagwörter: ENGINEERING design, SWARM intelligence, SIMULATED annealing, ALGORITHMS, FORAGING behavior, RANDOM walks