Results 31 to 40 of about 478 (148)
To better solve the problems associated with optimal pathfinding and dynamic obstacle avoidance in the path planning of mobile robots, a hybrid path planning scheme combining modified gray wolf optimization (MGWO) and situation assessment mechanism is ...
Yilun Liu, Xiaoming Li
doaj +1 more source
The regulation of the frequency and line power flow in interconnected power networks is considered to be a key aspect of load frequency control (LFC). This article broaches a modern power network composed of three interconnected control areas including traditional generation units taking into account non‐linearities, also renewable energy sources (RESs)
Mohamed A. Sobhy +3 more
wiley +1 more source
Early and High‐Accuracy Diagnosis of Parkinson’s Disease: Outcomes of a New Model
Parkinson’s disease (PD) is one of the significant common neurological disorders of the current age that causes uncontrollable movements like shaking, stiffness, and difficulty. The early clinical diagnosis of this disease is essential for preventing the progression of PD.
Sajjad Amiri Doumari +3 more
wiley +1 more source
Daily peak load forecasting is an important part of power load forecasting. The accuracy of its prediction has great influence on the formulation of power generation plan, power grid dispatching, power grid operation and power supply reliability of power
Shuyu Dai, Dongxiao Niu, Yan Li
doaj +1 more source
Performance Evaluation of Evolutionary Algorithms for Analog Integrated Circuit Design Optimisation
An automated sizing approach for analog circuits using evolutionary algorithms is presented in this paper. A targeted search of the search space has been implemented using a particle generation function and a repair-bounds function that has resulted in ...
Badugu, Vasant +3 more
core +1 more source
Swarm intelligence algorithms are metaheuristics inspired by the collective behavior of species such as birds, fish, bees, and ants. They are used in many optimization problems due to their simplicity, flexibility, and scalability. These algorithms get the desired convergence during the search by balancing the exploration and exploitation processes ...
Alam Zeb +5 more
wiley +1 more source
Machine learning-based design automation of CMOS analog circuits using SCA-mGWO algorithm
Analog circuit design is comparatively more complex than its digital counterpart due to its nonlinearity and low level of abstraction. This study proposes a novel low-level hybrid of the sine-cosine algorithm (SCA) and modified greywolf optimization ...
Vijaya Babu E, Syamala Y
doaj +1 more source
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-based Intrusion Detection System [PDF]
Intrusion detection systems (IDS) play a pivotal role in computer security by discovering and repealing malicious activities in computer networks. Anomaly-based IDS, in particular, rely on classification models trained using historical data to discover ...
Comuzzi, Marco +2 more
core +1 more source
An optimal design of current conveyors using a hybrid-based metaheuristic algorithm [PDF]
This paper focuses on the optimal sizing of a positive second-generation current conveyor (CCII+), employing a hybrid algorithm named DE-ACO, which is derived from the combination of differential evolution (DE) and ant colony optimization (ACO ...
Abi, Soufiane, Benhala, Bachir
core +3 more sources
Mechanical properties are important indicators for evaluating the quality of strips. This paper proposes a mechanical performance prediction model based on the Gray Wolf Optimization (GWO) algorithm and the Extreme Learning Machine (ELM) algorithm.
Zhenqiang Xiong +4 more
wiley +1 more source

