Results 161 to 170 of about 52,555 (294)
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
Introducing a cascaded TI–TID secondary controller (SFO‐tuned) for a renewable‐integrated three‐area grid with HVDC and smart transformers modulating voltage‐dependent loads, achieving faster settling, lower overshoot, and robust frequency/tie‐line regulation under ±20% load changes versus conventional TI/TID baselines.
Sanjeev Kumar Bhagat +7 more
wiley +1 more source
Optimizing a Machine Learning Algorithm by a Novel Metaheuristic Approach: A Case Study in Forecasting [PDF]
Bahadır Gülsün, Muhammed Resul Aydin
openalex +1 more source
Rapid 5G/6G evolution demands cross‐layer resource management to address congestion, latency, and reliability in multi‐hop wireless networks. This paper proposes a TOHRP–LBCA framework using DSA and congestion−/topology−/interference‐aware routing and channel allocation, yielding throughput gains, lower latency, improved packet delivery, and higher ...
Emmanuel Ahatsi, Oludolapo Olanrewaju
wiley +1 more source
Nature-inspired Metaheuristic Algorithms for Multi-modal Optimization Problems: A Comprehensive Review [PDF]
Hanan Abdulkarim, Tarik A. Rashid
openalex +1 more source
An adaptive surrogate‐assisted differential evolution framework integrates machine learning‐based surrogate modeling with selective full‐wave electromagnetic validation to accelerate antenna optimization. A CST–Python workflow combines Latin‐hypercube sampling, cross‐validated model selection, and iterative dataset refinement to guide the search toward
Muhammad Farooq +3 more
wiley +1 more source
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga +6 more
wiley +1 more source
ABSTRACT Wind energy has become one of the most promising new energy resources. In the construction of offshore wind farms, the cable accounts for about 10% of the total investment, and the optimization of the cable layout is necessary for reducing the total cost of the wind farm. In this paper, we proposed a novel algorithm for the optimization of the
Guoqing Huang +5 more
wiley +1 more source
Probabilistic Optimal Power Flow Solution Using a Novel Hybrid Metaheuristic and Machine Learning Algorithm [PDF]
Mohamed A. M. Shaheen +9 more
openalex +1 more source

