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Review on recent optimization strategies for hybrid renewable energy system with hydrogen technologies: State of the art, trends and future directions
The world is currently facing a power shortage due to the inadequacy of conventional
energy sources and increased energy requirements in almost all sectors of human life. To …
energy sources and increased energy requirements in almost all sectors of human life. To …
Grasshopper optimization algorithm: theory, variants, and applications
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
Henry gas solubility optimization: A novel physics-based algorithm
Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …
Evolutionary population dynamics and grasshopper optimization approaches for feature selection problems
Searching for the optimal subset of features is known as a challenging problem in feature
selection process. To deal with the difficulties involved in this problem, a robust and reliable …
selection process. To deal with the difficulties involved in this problem, a robust and reliable …
Techno-economic modeling and optimal sizing of autonomous hybrid microgrid renewable energy system for rural electrification sustainability using HOMER and …
This research paper focuses on techno-economic modeling and optimal sizing of
autonomous hybrid microgrid systems. The optimal configuration of the suggested stand …
autonomous hybrid microgrid systems. The optimal configuration of the suggested stand …
MOAVOA: a new multi-objective artificial vultures optimization algorithm
This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
flood-prone area has also become a top priority. The flash flood-susceptibility map** can …
[HTML][HTML] An improved grasshopper optimization algorithm with application to financial stress prediction
J Luo, H Chen, Y Xu, H Huang, X Zhao - Applied Mathematical Modelling, 2018 - Elsevier
This study proposed an improved grasshopper optimization algorithm (GOA) for continuous
optimization and applied it successfully to the financial stress prediction problem. GOA is a …
optimization and applied it successfully to the financial stress prediction problem. GOA is a …
An efficient slime mould algorithm for solving multi-objective optimization problems
Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective
optimization problems. It is considered as a strong algorithm for its efficient global search …
optimization problems. It is considered as a strong algorithm for its efficient global search …
A review on stand-alone photovoltaic-wind energy system with fuel cell: System optimization and energy management strategy
This article review system optimization and energy management strategies (EMS) for a
standalone photovoltaic and wind energy system integrated with fuel cell. The goal of …
standalone photovoltaic and wind energy system integrated with fuel cell. The goal of …