Enhanced marine predator algorithm for global optimization and engineering design problems
SB Aydemir - Advances in Engineering Software, 2023 - Elsevier
Marine predator algorithm adopts the policy of optimal encounter rate in biological
interaction between predator and prey, inspired by the Lévy and Brownian motions …
interaction between predator and prey, inspired by the Lévy and Brownian motions …
Enhancing grasshopper optimization algorithm (GOA) with levy flight for engineering applications
L Wu, J Wu, T Wang - Scientific Reports, 2023 - nature.com
The grasshopper optimization algorithm (GOA) is a meta-heuristic algorithm proposed in
2017 mimics the biological behavior of grasshopper swarms seeking food sources in nature …
2017 mimics the biological behavior of grasshopper swarms seeking food sources in nature …
Ideal solution candidate search for starling murmuration optimizer and its applications on global optimization and engineering problems
SB Aydemir - The Journal of Supercomputing, 2024 - Springer
In this article, a novel population selection method, fitness distance balance (FDB), and
predictive candidate (PC) solution generation hybridization with starling murmuration …
predictive candidate (PC) solution generation hybridization with starling murmuration …
Comparison of metaheuristic optimization algorithms for numerical solutions of optimal control problems
The objective in optimal control problems is to determine the control rule to be applied
according to the objective function determined for a given system. Theoretically, different …
according to the objective function determined for a given system. Theoretically, different …
Improved marine predators algorithm for engineering design optimization problems
Y Chun, X Hua, C Qi, YX Yao - Scientific Reports, 2024 - nature.com
Abstract The Marine Predator Algorithm (MPA) has unique advantages as an important
branch of population-based algorithms. However, it emerges more disadvantages gradually …
branch of population-based algorithms. However, it emerges more disadvantages gradually …
Research on Dynamic Economic Dispatch Optimization Problem Based on Improved Grey Wolf Algorithm
W Yang, Y Zhang, X Zhu, K Li, Z Yang - Energies, 2024 - mdpi.com
The dynamic economic dispatch (DED) problem is a typical complex constrained
optimization problem with non-smooth, nonlinear, and nonconvex characteristics, especially …
optimization problem with non-smooth, nonlinear, and nonconvex characteristics, especially …
Fuzzy Logic PID Design using Genetic Algorithm under Overshoot Constrained Conditions for Heat Exchanger Control
In this study, a controller design was carried out for the heat exchanger, which is widely used
in the industry. Firstly, Zeigler Nichols step, Zeigler Nichols frequency, AMIGO step and …
in the industry. Firstly, Zeigler Nichols step, Zeigler Nichols frequency, AMIGO step and …
Review on constraint handling techniques for microgrid energy/power management systems
Microgrid energy management system (EMS)/power management system (PMS)
optimisation problems often have conflicting objectives subjected to nonlinear constraints …
optimisation problems often have conflicting objectives subjected to nonlinear constraints …
Improved marine predators algorithm for engineering design optimization problems
C Qi - 2024 - researchsquare.com
Abstract The Marine Predators Algorithm (MPA) is recognized as one of the optimization
method in population-based algorithm that mimics the foraging optimization strategy …
method in population-based algorithm that mimics the foraging optimization strategy …