Results 51 to 60 of about 4,016,580 (147)
Flowchart of the methodology used for this study ABSTRACT Optimization scheduling plays a pivotal role in construction projects, significantly influencing both the overall project schedule and its efficiency. This study focuses on optimizing the scheduling of electric highway engineering projects within roadbed construction.
Dawei Wang, Bo Gao, Lei Zhang
wiley +1 more source
This study was conducted to promote a new adaptive cone algorithm (ACA) algorithm. ACA is a metaheuristic technique based on swarm intelligence. ACA contains three steps. Each agent moves closer to the global reference in the first step. Then, each agent
Kusuma, Purba Daru; Computer Engineering, Telkom University, Buah Batu Street, Bandung, 40238, Indonesia +1 more
core +1 more source
Conceptual design of PID controller optimization for DC motors using nature‐inspired algorithms. ABSTRACT The proportional integral derivative (PID) controller plays a crucial role in various industrial applications. However, conventional methods often fail to provide optimal parameter values.
Aykut Fatih Güven +3 more
wiley +1 more source
An important objective of this research is to enhance the network lifecycle and data delivery over the WSN. This research proposes the M‐PMARO for choosing the optimum CH that helps to balance the energy expenditure and achieves the reliable communication over the network.
Babiyola Arulanandam +3 more
wiley +1 more source
1. This research focuses on wireless sensor networks (WSNs) and proposes a three‐phase approach to achieve energy‐efficient routing. 2. The approach consists of node deployment using Voronoi diagrams, clustering, cluster Head (CH) selection using energy‐efficient game theory, and a routing strategy based on improved pelican optimisation (ImPe) segment ...
S. Sangeetha +3 more
wiley +1 more source
A developing methodology that may be used in intelligent transportation frameworks is Vehicular Ad hoc Networks (VANETs). For VANET systems to be dependable, routing protocols are necessary.
R. Muthaiyan +3 more
doaj +1 more source
This figure signifies the methodological flow of the presented system. It is identified that the proposed system comprises procedures such as single‐ended primary‐inductor converter‐based alternating current–direct current converter, ant lion colony optimization with particle swarm optimization algorithm, and artificial neural network‐based direct ...
Shanmuganatha Vadivel Kasi +3 more
wiley +1 more source
Efficient approach for optimal parameter estimation of PV using Pelican Optimization Algorithm
In order to optimize the performance of a Solar Photovoltaic (PV) system, it is necessary to develop an appropriate PV cell model and accurately determine the unknown parameters associated with the model.
Asmita Ajay Rathod, Balaji Subramanian
doaj +1 more source
With the growing presence of renewable energy sources (RESs), the necessity for adaptive and robust control strategies becomes more pronounced. This article proposes a self‐adaptive bonobo optimizer (SABO)‐based proportional integral one plus double derivative (PI‐(1+DD)) controller that offers a novel solution to the load frequency control (LFC).
Sulaiman Z. Almutairi +4 more
wiley +1 more source
In the research of heterogeneous wireless sensor networks, clustering is one of the most commonly used energy-saving methods. However, existing clustering methods face challenges when applied to heterogeneous wireless sensor networks, such as energy ...
Jin Duan +4 more
core +1 more source

