This paper presents an algorithm for solving global optimization problems with bounded variables. The algorithm is a modification of the electromagnetism-like mechanism proposed by Birbil and Fang [An electromagnetism-like mechanism for global optimization, J. Global Optim. 25 (2003), pp. 263–282]. The differences are mainly on the local search procedure and on the force vector used to move each point in the population. Several widely-used benchmark problems were solved in a performance evaluation of the new algorithm when compared with the original one. A comparison with other stochastic methods is also included. The algorithm seems appropriate for large dimension problems
Abstract. The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [2] is a population...
This chapter aims to address the challenging and demanding issue of solving a continuous nonlinear c...
In this paper, we present a new stochastic hybrid technique for constrained global optimization. It ...
This paper introduces a modification on the movement force vector of the Birbil and Fang's electroma...
This paper introduces a modification on the movement force vector of the Birbil and Fang's electroma...
The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [2] is a population-based sto...
Abstract: Electromagnetism-like Mechanism (EM) heuristic is a population-based stochastic global op-...
Abstract. Electromagnetism-like Mechanism (EM) heuristic is a population-based stochastic global opt...
The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [31 is a population-based sto...
The Electromagnetism-like (EM) algorithm is a population- based stochastic global optimization algo...
This paper presents an augmented Lagrangian algorithm to solve continuous constrained global optimi...
This paper extends our previous work done with a modified Electromagnetism-like (EM) algorithm to a ...
This paper presents modifications of the electromagnetism-like (EM) algorithm for solving global opt...
This paper presents the use of a constraint-handling technique, known as feasibility and dominance r...
AbstractWe propose an electromagnetism-like (EM) method for constrained global optimization. The met...
Abstract. The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [2] is a population...
This chapter aims to address the challenging and demanding issue of solving a continuous nonlinear c...
In this paper, we present a new stochastic hybrid technique for constrained global optimization. It ...
This paper introduces a modification on the movement force vector of the Birbil and Fang's electroma...
This paper introduces a modification on the movement force vector of the Birbil and Fang's electroma...
The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [2] is a population-based sto...
Abstract: Electromagnetism-like Mechanism (EM) heuristic is a population-based stochastic global op-...
Abstract. Electromagnetism-like Mechanism (EM) heuristic is a population-based stochastic global opt...
The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [31 is a population-based sto...
The Electromagnetism-like (EM) algorithm is a population- based stochastic global optimization algo...
This paper presents an augmented Lagrangian algorithm to solve continuous constrained global optimi...
This paper extends our previous work done with a modified Electromagnetism-like (EM) algorithm to a ...
This paper presents modifications of the electromagnetism-like (EM) algorithm for solving global opt...
This paper presents the use of a constraint-handling technique, known as feasibility and dominance r...
AbstractWe propose an electromagnetism-like (EM) method for constrained global optimization. The met...
Abstract. The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [2] is a population...
This chapter aims to address the challenging and demanding issue of solving a continuous nonlinear c...
In this paper, we present a new stochastic hybrid technique for constrained global optimization. It ...