Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems
The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …
based optimization algorithms are a mathematical means of solving complex problems …
Advances in manta ray foraging optimization: A comprehensive survey
FS Gharehchopogh, S Ghafouri, M Namazi… - Journal of Bionic …, 2024 - Springer
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
Gorilla troops optimizer for electrically based single and double-diode models of solar photovoltaic systems
The extraction of parameters of solar photovoltaic generating systems is a difficult problem
because of the complex nonlinear variables of current-voltage and power-voltage. In this …
because of the complex nonlinear variables of current-voltage and power-voltage. In this …
Parameter identification and state of charge estimation of Li-Ion batteries used in electric vehicles using artificial hummingbird optimizer
In this paper, an artificial hummingbird optimization technique (AHOT), a novel bio-inspired
meta-heuristic algorithm, is developed to identify the unknown parameters of Li-Ion batteries …
meta-heuristic algorithm, is developed to identify the unknown parameters of Li-Ion batteries …
Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm
Combined heat and power economic dispatch (CHPED) problem is one of the most widely
handled, optimization problem by researchers in modern power systems. CHPED problem is …
handled, optimization problem by researchers in modern power systems. CHPED problem is …
An improved heap optimization algorithm for efficient energy management based optimal power flow model
The optimal power flow is considered as a crucial tool in the power systems' operation and
planning. To demonstrate, it aims at minimizing the operational costs of energy production …
planning. To demonstrate, it aims at minimizing the operational costs of energy production …
Electrical parameters extraction of PV modules using artificial hummingbird optimizer
The parameter extraction of PV models is a nonlinear and multi-model optimization problem.
However, it is essential to correctly estimate the parameters of the PV units due to their …
However, it is essential to correctly estimate the parameters of the PV units due to their …
A heap-based algorithm with deeper exploitative feature for optimal allocations of distributed generations with feeder reconfiguration in power distribution networks
The optimal combination of power distribution feeder reconfiguration (PDFR) with distributed
generators (DGs) is one of the most attractive combinatorial optimization issues. This paper …
generators (DGs) is one of the most attractive combinatorial optimization issues. This paper …
An innovative hybrid heap-based and jellyfish search algorithm for combined heat and power economic dispatch in electrical grids
This paper proposes a hybrid algorithm that combines two prominent nature-inspired meta-
heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this …
heuristic strategies to solve the combined heat and power (CHP) economic dispatch. In this …
Improved heap-based optimizer for DG allocation in reconfigured radial feeder distribution systems
This article presents an improved heap-based optimizer (IHBO) for dealing with the optimal
combination of power distribution system reconfiguration and distributed generators …
combination of power distribution system reconfiguration and distributed generators …