A5068029957- Metaheuristic Optimization Algorithms Research
- Advanced Algorithms and Applications
- Advanced Control Systems Optimization
- Advanced Multi-Objective Optimization Algorithms
- Fault Detection and Control Systems
- Viral Infectious Diseases and Gene Expression in Insects
- Evolutionary Algorithms and Applications
- Radiative Heat Transfer Studies
- Iron and Steelmaking Processes
- Microbial Metabolic Engineering and Bioproduction
- Calibration and Measurement Techniques
- Microgrid Control and Optimization
- Photovoltaic System Optimization Techniques
- Metallurgical Processes and Thermodynamics
- Electric Power System Optimization
- Grey System Theory Applications
- Optimization and Packing Problems
- Atmospheric aerosols and clouds
- Thermography and Photoacoustic Techniques
- Evolution and Genetic Dynamics
- Combustion and flame dynamics
- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Induction Heating and Inverter Technology
- Coagulation and Flocculation Studies
Northeastern University
2012-2024
Combined heat and power economic dispatch (CHPED) is one of the foremost subjects in operation systems. In this article, a new variant cuckoo search (CS) algorithm, elitist CS (yECS), advanced to tackle CHPED. During optimisation process original as well lots its variants, guidance directions relies merely upon best individual, causing loss other beneficial information further influencing their performance potentials. Therefore, yECS, an mechanism developed fully utilise elite individuals....
Abstract This article presents a hybrid model for predicting the temperature of molten steel in ladle furnace (LF). Unique to proposed prediction is that its neural network-based empirical part trained an indirect way since target outputs this are unavailable. A modified cuckoo search (CS) algorithm used optimize parameters part. The each individual traditional CS normally performed independently, which may limit algorithm’s capability. To address this, CS, information interaction-enhanced...
The manufacturing and energy industry are typical complex large systems which cover a long cycle such as design [...]
The accurate recognition of parameters in the photovoltaic (PV) model is crucial for assessment, adjustment, and tracking maximum power point PV system, which has significant theoretical practical value. This paper proposes an adaptive differential evolution with accelerated exploitation mechanism (AESHADE) estimating parameter models. In AESHADE, algorithm's fully utilize historical evolutionary information successful individuals make adjustments. During phase, when algorithm stagnates, are...
A genetic algorithm with memory function (GA_MF) is proposed in this paper to improve the performance of by using historical search information. In GA_MF, a new crossover operator that allows each offspring chromosome obtain genes from its parent chromosome, parent's optimal as well global constructed enrich gene source chromosome. This would be great help inheritance and development good genes, therefore GA_MF could expected achieve optimization results. To verify performance, it compared...