Bird swarm algorithms with chaotic mapping

E Varol Altay, B Alatas - Artificial Intelligence Review, 2020 - Springer
Swarm intelligence based optimization methods have been proposed by observing the
movements of alive swarms such as bees, birds, cats, and fish in order to obtain a global …

Optimal power flow of power systems with controllable wind‐photovoltaic energy systems via differential evolutionary particle swarm optimization

S Duman, S Rivera, J Li, L Wu - International Transactions on …, 2020 - Wiley Online Library
The produced energy from varied sources in modern power systems is to be optimally
planned for planning and operating of power system under the determined limit conditions …

A bio-inspired heuristic algorithm for solving optimal power flow problem in hybrid power system

M Ahmad, N Javaid, IA Niaz, A Almogren… - IEEE …, 2021 - ieeexplore.ieee.org
In recent studies, emphasis has been placed on optimal power flow (OPF) problems in
traditional thermal, wind, and solar energy sources-based hybrid power systems. Various …

Optimal design of interval type-2 fuzzy heart rate level classification systems using the bird swarm algorithm

I Miramontes, JC Guzman, P Melin, G Prado-Arechiga - Algorithms, 2018 - mdpi.com
In this paper, the optimal designs of type-1 and interval type-2 fuzzy systems for the
classification of the heart rate level are presented. The contribution of this work is a …

A collaborative compound neural network model for soil heavy metal content prediction

W Cao, C Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
The prediction of soil heavy metal content is an important part of the management of soil
heavy metal pollution, but it is often ignored. At present, there are few studies on the …

Optimal placement of wind power plants in transmission power networks by applying an effectively proposed metaheuristic algorithm

MQ Duong, TT Nguyen… - Mathematical Problems in …, 2021 - Wiley Online Library
In this paper, a modified equilibrium algorithm (MEA) is proposed for optimally determining
the position and capacity of wind power plants added in a transmission power network with …

Path planning and engineering problems of 3D UAV based on adaptive coati optimization algorithm

C Jia, L He, D Liu, S Fu - Scientific Reports, 2024 - nature.com
In response to the challenges faced by the Coati Optimization Algorithm (COA), including
imbalance between exploration and exploitation, slow convergence speed, susceptibility to …

Enhancing dynamic parameter adaptation in the bird swarm algorithm using general type-2 fuzzy analysis and mathematical functions

I Miramontes, P Melin - Axioms, 2023 - mdpi.com
The pursuit of continuous improvement across diverse processes presents a pressing
challenge. Precision in manufacturing, efficient delivery route planning, and accurate …

[HTML][HTML] Slime mould algorithm for practical optimal power flow solutions incorporating stochastic wind power and static var compensator device

R Kouadri, L Slimani, T Bouktir - Электротехника и …, 2020 - cyberleninka.ru
Purpose. This paper proposes the application procedure of a new metaheuristic technique
in a practical electrical power system to solve optimal power flow problems, this technique …

Discrete bird swarm algorithm based on information entropy matrix for traveling salesman problem

M Lin, Y Zhong, J Lin, X Lin - Mathematical Problems in …, 2018 - Wiley Online Library
Although bird swarm optimization (BSA) algorithm shows excellent performance in solving
continuous optimization problems, it is not an easy task to apply it solving the combination …