A new meta-heuristic optimization algorithm inspired by FIFA world cup competitions: theory and its application in PID designing for AVR system
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 …
contests. FIFA World Cup is an international association football competition competed by …
[BOOK][B] Handbook of optimization: from classical to modern approach
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 …
present. Since the beginning of our civilization, the human race has had to confront …
Neural network construction and training using grammatical evolution
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 …
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
Meta-heuristic methods are global optimization algorithms which are widely used in the
engineering issues, nowadays. The main problem with the classical optimization algorithms …
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
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 …
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 …
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 …
computationally efficient and sufficiently accurate computational methods are necessary …
Toward an ideal particle swarm optimizer for multidimensional functions
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 …
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
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 …
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
Asymptotic approximations such as the first-and second-order reliability method (FORM,
SORM) are sometimes preferred in reliability analysis due to their efficiency. Bayesian …
SORM) are sometimes preferred in reliability analysis due to their efficiency. Bayesian …