Results 31 to 40 of about 442 (139)
Recently, the optimal control problem has gained much importance for solving practical problems. In this regard, the meta-heuristic algorithms are proven to be effective while solving these problems effectively and efficiently.
Venkata Satya Durga Manohar Sahu +2 more
doaj +1 more source
Efficient Diagnosis of Liver Disease using Support Vector Machine Optimized with Crows Search Algorithm [PDF]
The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain.
D. Devikanniga +2 more
doaj +1 more source
Researchers’ are taking keen interest in Optimization algorithms due to their heuristic and meta-heuristic nature. Heuristic algorithms find the arrangement by utilizing the experimentation strategy. Then again, meta-heuristic algorithms discover the response at a more elevated tier.
openaire +1 more source
ABSTRACT Solar photovoltaic (PV) systems can be significantly enhanced through the use of accurate solar cell models. Unfortunately, the absence of precise parameters from manufacturers limits the accuracy of these models. Given the impossibility of reliable modeling without such parameters, this paper introduces a multi‐objective optimization ...
Manish Kumar Singla +6 more
wiley +1 more source
ENGINE FAULT DIAGNOSIS BASED ON DEEP BELIEF NETWORK IMPROVED BY ADAPTIVE CROW SEARCH ALGORITHM (MT)
Based on the crow search algorithm(CSA), by the adaptive crow search algorithm(ACSA) the adaptive value strategy of sensing probability and flight distance, which effectively enhanced the performance of the algorithm is designed. In view of the fact that
WANG Liang, TANG MingWei
doaj
This research discusses the maintenance problem of a small commercial aircraft with propeller engine, typed ATR-72. Based on the maintenance records, the aircraft has average 294 routine activities that have to be monitored and done based on ...
Nurhadi Siswanto +3 more
doaj +1 more source
This study proposes a hybrid evolutionary exploration algorithm (HEEA) that integrates genetic algorithm and grey wolf optimiser to co‐tune PID controller gains and SMES parameters in a two‐area AC‐DC interconnected renewable system. The proposed method achieves faster convergence, lower ITAE and improved stability compared to existing metaheuristics ...
Md. Shahan Sarker
wiley +1 more source
The sensor network consists of several low‐powered electronic sensing devices that are strategically deployed in a predefined area to gather important information. The sensors have low computing capacity, constrained battery energy, and limited storage. Therefore, the sensed data should be communicated to the sink efficiently for further processing. In
Shivendra Kumar Pandey +3 more
wiley +1 more source
Smart Energy Management of Residential Microgrid System by a Novel Hybrid MGWOSCACSA Algorithm
Optimal scheduling of distributed energy resources (DERs) of a low-voltage utility-connected microgrid system is studied in this paper. DERs include both dispatchable fossil-fueled generators and non-dispatchable renewable energy resources.
Bishwajit Dey +2 more
doaj +1 more source
Participation Factor–Based Uncertainty Handling for CEED Problem in a Sustainable Grid
The presence of renewable energy sources (RES) in a sustainable grid brings natural variability and uncertainty that complicate the reliable and cost‐effective operation of power systems. This study investigates combined emission economic dispatch within a sustainable grid, aiming to lower both operational costs and emissions while effectively ...
Angel T. S. +5 more
wiley +1 more source

