Greylag goose optimization: nature-inspired optimization algorithm
Nature-inspired metaheuristic approaches draw their core idea from biological evolution in
order to create new and powerful competing algorithms. Such algorithms can be divided into …
order to create new and powerful competing algorithms. Such algorithms can be divided into …
Integrated model for optimal energy management and demand response of microgrids considering hybrid hydrogen-battery storage systems
Hybrid hydrogen-battery (HHB) based energy storage technologies have recently become
matters of significant interest to enable sustainable and net zero-emission microgrids …
matters of significant interest to enable sustainable and net zero-emission microgrids …
DTCSMO: An efficient hybrid starling murmuration optimizer for engineering applications
Starling murmuration optimizer is a newly well-developed swarm intelligence algorithm
inspired by the behavior of starlings during stunning murmuration and has performed …
inspired by the behavior of starlings during stunning murmuration and has performed …
Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm
Abstract 1 Short-term wind speed prediction is critical for enhancing the efficiency of wind
power systems and assuring the stability and continuity of power generation and the host …
power systems and assuring the stability and continuity of power generation and the host …
LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications
Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in developing optimization concerns. However, AHA has an imbalance …
performance in developing optimization concerns. However, AHA has an imbalance …
[PDF][PDF] Design and Implementation of Demodulator and Carrier Phase Compensation System for Satellite Communication
A proposed design and FPGA implementation of a demodulator and phase compensation
system is presented. The system is simple, accurate, dissipate low power. Simulations …
system is presented. The system is simple, accurate, dissipate low power. Simulations …
Non-dominated sorting advanced butterfly optimization algorithm for multi-objective problems
This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
crowding distance mechanisms to solve multi-objective optimization problems. There is also …
Multi-objective architecture for strategic integration of distributed energy resources and battery storage system in microgrids
Microgrids with integrated renewable energy-based distributed generation (RDG) and
battery energy storage systems (BESS) should be effectively designed and controlled to …
battery energy storage systems (BESS) should be effectively designed and controlled to …
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Wind speed forecasting is of considerable economic and social significance; however, it
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …
Squid game optimizer (SGO): A novel metaheuristic algorithm
Abstract In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …