Journal ArticleDOI
A New Meta-Heuristic Optimization Algorithm Inspired by FIFA World Cup Competitions: Theory and Its Application in PID Designing for AVR System
TLDR
The main objective of the proposed system is to minimize the steady-state error and also to improve the transient response of the AVR system by optimal PID controller by WCO algorithm.Abstract:
This paper presents a new optimization algorithm based on human society’s intelligent contests. FIFA World Cup is an international association football competition competed by the senior men’s national teams. This contest is one of the most significant competitions among the humans in which people/teams try hard to overcome the others to earn the victory. In this competition there is only one winner which has the best position rather than the others. This paper introduces a new technique for optimization of mathematic functions based on FIFA World Cup competitions. The main difficulty of the optimization problems is that each type of them can be interpreted in a specific manner. World Cup Optimization (WCO) algorithm has a number of parameters to solve any type of problems due to defined parameters. For analyzing the system performance, it is applied on some benchmark functions. It is also applied on an optimal control problem as a practical case study to find the optimal parameters of PID controller with considering to the nominal operating points $$(K_{g}$$
, $$T_{g})$$
changes of the AVR system. The main objective of the proposed system is to minimize the steady-state error and also to improve the transient response of the AVR system by optimal PID controller. Optimal values of the PID controller which are achieved by WCO algorithm are then compared with particle swarm optimization and imperialist competitive algorithm in different situations. Finally for illustrating the system capability against the disturbance, it is applied on a generator with disturbance on it and the results are compared by the other algorithms. The simulation results show the excellence of WCO algorithm performance into the nature base and other competitive algorithms.read more
Citations
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Journal ArticleDOI
Heap-based optimizer inspired by corporate rank hierarchy for global optimization
TL;DR: The proposed algorithm is named as heap-based optimizer (HBO) because it utilizes the heap data structure to map the concept of CRH to propose a new algorithm for optimization that logically arranges the search agents in a hierarchy based on their fitness.
Journal ArticleDOI
A Hybrid Neural Network - World Cup Optimization Algorithm for Melanoma Detection.
TL;DR: A new efficient method to detect malignancy in melanoma via images using multi-layer perceptron network and WCO algorithm, which attempts to minimize the root mean square error.
Journal ArticleDOI
Improved Kidney-Inspired Algorithm Approach for Tuning of PID Controller in AVR System
Serdar Ekinci,Baran Hekimoglu +1 more
TL;DR: The main objective of the proposed approach is to optimize the transient response of the AVR system by minimizing the maximum overshoot, settling time, rise time and peak time values of the terminal voltage, and eliminating the steady state error.
Journal ArticleDOI
Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
TL;DR: An improved version of seagull optimization algorithm for optimal parameter identification of the PEMFC stacks is presented and results show the algorithm’s superiority in terms of the solutions quality and the convergence speed.
Journal ArticleDOI
Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes
TL;DR: In this article, a probabilistic model of the objective is used to compute an acquisition function that estimates the expected utility (for solving the optimization problem) of evaluating the objective at each potential new point.
References
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