Results 91 to 100 of about 13,578 (255)
Pest Management Science, EarlyView.Metabolism‐based atrazine‐resistant Amaranthus tuberculatus populations ACR and MCR exhibit little or no cross‐resistance to amicarbazone and metribuzin, suggesting that non‐halogenated Group 5 herbicides can be utilized to re‐establish effective control.
Alexander J Lopez +5 more
wiley +1 more source
Approach of economic‐emission load dispatch using Ant Lion Optimizer [PDF]
, 2018 To solve the problem of the economic emission load dispatch (EELD) is necessary minimize the total cost of fuel consumption and carbon emission. In this study is applied the ant lion optimizer (ALO) to this problem.
Carvajal, T. L. (Tirso) +4 more
core
A Novel Crawling Robot Based on the Hexagonal Mesh Structure and Enhanced PID Control Strategy
Journal of Field Robotics, EarlyView.ABSTRACT The locomotion of crawling robots is similar to that of caterpillars, relying on foot adhesion and body contraction to ensure flexible movement without compromising stability. However, most existing pneumatic soft crawling robots are incapable of simultaneously achieving forward, backward, turning, and climbing capabilities.
Meng Hongjun +4 more
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Camera traps have become an increasingly popular non‐invasive alternative to animal‐attached devices for studying wildlife behaviour. This study compared wolf (Canis lupus) activity patterns derived from collar accelerometers and road‐positioned camera traps and revealed strong overall agreement but also important seasonal and diel mismatches between ...
Katarzyna Bojarska +7 more
wiley +1 more source
Many-Objective Grey Wolf Optimizer (MaOGWO) for solving real-world problems
Results in EngineeringThe Grey Wolf Optimizer (GWO) is an effective optimization algorithm that primarily focuses on single objective optimization and is characterized by its simplicity and fast convergence.
Kanak Kalita +5 more
doaj +1 more source
A Random Opposition-Based Learning Grey Wolf Optimizer
IEEE Access, 2019 Grey wolf optimizer (GWO) algorithm is a swarm intelligence optimization technique that is recently developed to mimic the hunting behavior and leadership hierarchy of grey wolves in nature.
Wen Long +4 more
doaj +1 more source
steel research international, EarlyView.Fixed‐bed reactor experiments (10 L) validate the iron–steam redox process, bridging material‐scale research and industrial power‐to‐power applications. Coupled with SOEC/SOFC systems, this framework defines critical interfaces for heat and gas management. Results confirm reproducible hydrogen storage and release, demonstrating technical feasibility at
Julien Göthel +2 more
wiley +1 more source
Structural Concrete, EarlyView.Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee +2 more
wiley +1 more source
IEEE Access, 2019 This paper focuses on improving thermal efficiency and reducing unburned carbon in fly ash by optimizing operating parameters via a novel high-efficient swarm intelligence optimization algorithm (grey wolf optimizer algorithm, GWO) for coal-fired boiler.
Yiding Zhao +6 more
doaj +1 more source
A Grey Wolf Optimizer for Text Document Clustering
Journal of Intelligent Systems, 2018 Abstract Text clustering problem (TCP) is a leading process in many key areas such as information retrieval, text mining, and natural language processing. This presents the need for a potent document clustering algorithm that can be used effectively to navigate, summarize, and arrange information to congregate large data sets.
Hasan Rashaideh +6 more
openaire +2 more sources