Results 31 to 40 of about 478 (148)

A Hybrid Mobile Robot Path Planning Scheme Based on Modified Gray Wolf Optimization and Situation Assessment

open access: yesJournal of Robotics, 2022
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

Manta ray foraging optimization algorithm‐based load frequency control for hybrid modern power systems

open access: yesIET Renewable Power Generation, Volume 17, Issue 6, Page 1466-1487, 27 April 2023., 2023
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

open access: yesComputational and Mathematical Methods in Medicine, Volume 2023, Issue 1, 2023., 2023
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 Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

open access: yesEnergies, 2018
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

open access: yes, 2023
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

A Systematic Literature Review on Robust Swarm Intelligence Algorithms in Search‐Based Software Engineering

open access: yesComplexity, Volume 2023, Issue 1, 2023., 2023
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

open access: yesETRI Journal, 2022
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]

open access: yes, 2019
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]

open access: yes, 2022
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

Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm

open access: yesAdvances in Materials Science and Engineering, Volume 2023, Issue 1, 2023., 2023
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

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