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Slime mould algorithm: a comprehensive review of recent variants and applications
Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …
because of its simple structure, excellent optimisation capabilities, and acceptable …
Slime mould algorithm: A comprehensive survey of its variants and applications
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …
fields, such as science and engineering, in solving optimization problems. These algorithms …
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 …
Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance …
With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …
energy demands on modern electricity grids are also rising. In order to meet these demands …
[HTML][HTML] Stochastic optimal power flow analysis of power systems with wind/PV/TCSC using a developed Runge Kutta optimizer
Recently, renewable energy resources such as wind turbines (WTs) and photovoltaic (PV)
systems are wildly installed in electrical systems. However, the main challenge that related …
systems are wildly installed in electrical systems. However, the main challenge that related …
[HTML][HTML] Optimal power flow analysis based on hybrid gradient-based optimizer with moth–flame optimization algorithm considering optimal placement and sizing of …
Optimal power flow (OPF) is one of the most significant electric power network control and
management issues. Adding unreliable and intermittent renewable energy sources to the …
management issues. Adding unreliable and intermittent renewable energy sources to the …
Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem
In this paper, the multi-objective AC-DC optimal power flow (MO/AC-DC OPF) problem in the
presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) …
presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) …
Innovative Adaptive Protection Approach to Maximize the Security and Performance of Phase/Earth Overcurrent Relay for Microgrid Considering Earth Fault Scenarios …
Microgrids are increasingly paying attention to the emerging of distributed energy resources.
However, microgrid protection has challenged engineers because of the varying nature of …
However, microgrid protection has challenged engineers because of the varying nature of …
A review on optimization objectives for power system operation improvement using FACTS devices
In recent decades, the rapid rise in electricity demand has compelled transmission and
distribution systems to operate at almost their maximum capacity. This can pose numerous …
distribution systems to operate at almost their maximum capacity. This can pose numerous …
An enhanced hunter‐prey optimization for optimal power flow with FACTS devices and wind power integration
This paper proposes an improved version of the Hunter‐prey optimization (HPO) method to
enhance its search capabilities for solving the Optimal Power Flow (OPF) problem, which …
enhance its search capabilities for solving the Optimal Power Flow (OPF) problem, which …