A new meta-heuristic optimization algorithm inspired by FIFA world cup competitions: theory and its application in PID designing for AVR system

N Razmjooy, M Khalilpour, M Ramezani - Journal of Control, Automation …, 2016 - Springer
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 …

[BOOK][B] Handbook of optimization: from classical to modern approach

I Zelinka, V Snásel, A Abraham - 2012 - books.google.com
Optimization problems were and still are the focus of mathematics from antiquity to the
present. Since the beginning of our civilization, the human race has had to confront …

Neural network construction and training using grammatical evolution

I Tsoulos, D Gavrilis, E Glavas - Neurocomputing, 2008 - Elsevier
The term neural network evolution usually refers to network topology evolution leaving the
network's parameters to be trained using conventional algorithms. In this paper we present a …

[PDF][PDF] A new meta-heuristic algorithm for optimization based on variance reduction of guassian distribution

A Namadchian, M Ramezani… - Majlesi Journal of …, 2016 - academia.edu
Meta-heuristic methods are global optimization algorithms which are widely used in the
engineering issues, nowadays. The main problem with the classical optimization algorithms …

On locating all roots of systems of nonlinear equations inside bounded domain using global optimization methods

IG Tsoulos, A Stavrakoudis - Nonlinear Analysis: Real World Applications, 2010 - Elsevier
A novel method of locating all real roots of systems of nonlinear equations is presented here.
The root finding problem is transformed to optimization problem, enabling the application of …

Local beam angle optimization with linear programming and gradient search

D Craft - Physics in Medicine & Biology, 2007 - iopscience.iop.org
The optimization of beam angles in IMRT planning is still an open problem, with literature
focusing on heuristic strategies and exhaustive searches on discrete angle grids. We show …

Local buckling analysis of omega-stringer-stiffened composite panels using a new closed-form analytical approximate solution

JC Schilling, C Mittelstedt - Thin-Walled Structures, 2020 - Elsevier
For the preliminary structural design of aircraft, spacecraft and marine vessels,
computationally efficient and sufficiently accurate computational methods are necessary …

Toward an ideal particle swarm optimizer for multidimensional functions

V Charilogis, IG Tsoulos - Information, 2022 - mdpi.com
The Particle Swarm Optimization (PSO) method is a global optimization technique based on
the gradual evolution of a population of solutions called particles. The method evolves the …

[HTML][HTML] EOFA: An Extended Version of the Optimal Foraging Algorithm for Global Optimization Problems

G Kyrou, V Charilogis, IG Tsoulos - Computation, 2024 - mdpi.com
The problem of finding the global minimum of a function is applicable to a multitude of real-
world problems and, hence, a variety of computational techniques have been developed to …

Improve the accuracy of asymptotic approximation in reliability problems involving multimodal distributions

J He, X Guan, R Jha - IEEE Transactions on Reliability, 2016 - ieeexplore.ieee.org
Asymptotic approximations such as the first-and second-order reliability method (FORM,
SORM) are sometimes preferred in reliability analysis due to their efficiency. Bayesian …