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 …
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
Modified FOPID controller for frequency regulation of a hybrid interconnected system of conventional and renewable energy sources
In this article, a fractional-order proportional-integral-differential (FOPID) controller and its
modified structure, called a MFOPID controller, are presented. To guarantee optimal system …
modified structure, called a MFOPID controller, are presented. To guarantee optimal system …
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 …
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 …
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 …
A honey badger optimization for minimizing the pollutant environmental emissions-based economic dispatch model integrating combined heat and power units
Traditionally, the Economic Dispatch Model (EDM) integrating Combined Heat and Power
(CHP) units aims to reduce fuel costs by managing power-only, CHP, and heat-only units …
(CHP) units aims to reduce fuel costs by managing power-only, CHP, and heat-only units …
An enhanced dwarf mongoose optimization algorithm for solving engineering problems
This paper proposes a new Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA)
with an alpha-directed Learning Strategy (LS) for dealing with different mathematical …
with an alpha-directed Learning Strategy (LS) for dealing with different mathematical …
Optimization of combined heat and power systems by meta-heuristic algorithms: An overview
Combined heat and power (CHP) plants are known as efficient technologies to reduce
environmental emissions, balance energy costs, and increase total energy efficiency. To …
environmental emissions, balance energy costs, and increase total energy efficiency. To …
[HTML][HTML] Reliability enhancement and power loss reduction in medium voltage distribution feeders using modified jellyfish optimization
The reliability of electrical systems is a critical operational characteristic for distribution
companies. On the other hand, they pay great attention on reducing losses in primary and …
companies. On the other hand, they pay great attention on reducing losses in primary and …