[BOOK][B] Swarm intelligence: principles, advances, and applications
AE Hassanien, E Emary - 2018 - taylorfrancis.com
Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …
A comparative review of approaches to prevent premature convergence in GA
This paper surveys strategies applied to avoid premature convergence in Genetic
Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms. The …
Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms. The …
[HTML][HTML] Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks
Energy forecasting plays an important role in effective power grid management. The
widespread adoption of emerging technologies and the increased reliance on renewable …
widespread adoption of emerging technologies and the increased reliance on renewable …
Chaotic local search-based differential evolution algorithms for optimization
JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …
comparison with other evolutionary optimization algorithms. However, it suffers from the …
Optimal tuning of fractional order PID controller for DC motor speed control via chaotic atom search optimization algorithm
B Hekimoğlu - IEEE access, 2019 - ieeexplore.ieee.org
In this paper, atom search optimization (ASO) algorithm and a novel chaotic version of it
[chaotic ASO (ChASO)] are proposed to determine the optimal parameters of the fractional …
[chaotic ASO (ChASO)] are proposed to determine the optimal parameters of the fractional …
Economic dispatch using chaotic bat algorithm
This paper presents the application of a new metaheuristic optimization algorithm, the
chaotic bat algorithm for solving the economic dispatch problem involving a number of …
chaotic bat algorithm for solving the economic dispatch problem involving a number of …
An improved particle swarm optimization for nonconvex economic dispatch problems
JB Park, YW Jeong, JR Shin… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
This paper presents an efficient approach for solving economic dispatch (ED) problems with
nonconvex cost functions using an improved particle swarm optimization (IPSO). Although …
nonconvex cost functions using an improved particle swarm optimization (IPSO). Although …
Chaos embedded particle swarm optimization algorithms
This paper proposes new particle swarm optimization (PSO) methods that use chaotic maps
for parameter adaptation. This has been done by using of chaotic number generators each …
for parameter adaptation. This has been done by using of chaotic number generators each …
Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO
This paper investigates the operation of a hybrid power system through a novel fuzzy control
scheme. The hybrid power system employs various autonomous generation systems like …
scheme. The hybrid power system employs various autonomous generation systems like …
Optimal reactive power dispatch using chaotic bat algorithm
S Mugemanyi, Z Qu, FX Rugema, Y Dong… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, the chaotic bat algorithm (CBA) is applied to solve the optimal reactive power
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …
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