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Introduction
Sport and hobbies: Taekwondo and Tennis.
Publications
Publications (19)
The building’s behavior simulation is an important phase in the design. It becomes valuable technique to understand and optimize enormous challenges. It depends on the values of yearly meteorological parameters variations. The design day is a real historical day, which reflects the natural hourly variations of meteorological parameters. In this wor...
Solving numerical integration is an important
question in scientific calculations and engineering. Gregory’s
method is among the very first quadrature formulas ever
described in the literature, dating back to James Gregory (1638-
1675). In this article we prove that the Gregory Formula (G )
can be optimized by minimizing some of their coefficients...
Social foraging behavior of Escherichia coli bacteria has recently been explored to develop a novel algorithm for distributed optimization and control. This paper exploits the metaphor of natural foraging of bacteria in the context of image segmentation. We adapt the bacteria chemotaxis multi-objective optimization algorithm to optimize simultaneou...
The aim of this work is to provide a comprehensive review of multiobjective optimization in the image segmentation problem based on image thresholding. The authors show that the inclusion of several criteria in the thresholding segmentation process helps to overcome the weaknesses of these criteria when used separately. In this context, they give a...
This chapter proposes quadrature methods (PSOQF) for approximate calculation of integrals within Particle Swarm Optimization (PSO). PSO is a technique based on the cooperation between particles. The exchange of information between these particles allows to resolve difficult problems. Riemann quadrature formula (RQF) will be discussed first, followe...
In this paper, a novel numerical integration method based on Particle Swarm Optimization (PSO) was presented. PSO is a technique based on the cooperation between particles. The exchange of information between these particles allows to resolve difficult problems. This approach is carefully handled and tested with some numerical examples.
A new dynamic Multilevel Thresholding method (DMTBPSO), based on Binary Particle Swarm Optimization and Otsu's method, is proposed. This approach can automatically determine the appropriate number of thresholds as well as the adequate threshold values with saving a significant amount of computing time which is independent from the number of thresho...
Consider the Gregory integration (G) formula with end corrections where {increment} h is the forward difference operator with step size h. In this study we prove that (1) can be optimized by minimizing some of the coefficient α k in the remainder term by particle swarm optimization. Experimental tests prove that (1) can be rendered a powerful formu...
We develop the discrete derivatives representation method (DDR) to find the physical structures of the Schrodinger equation in which the interpolation polynomial of Bernstein has been used. In this paper the particle swarm optimization (PSO for short) has been suggested as a means to improve qualitatively the solutions. This approach is carefully h...
The particle swarm optimization is used to investigate the best interpolating points. Some good results are obtained by using the specific PSO approach. It is now known that the PSO scheme is powerful, and easier to apply specially for this type of problems. Also, the PSO method can be used directly and in a straightforward manner. The performance...
In the present work, we introduce the particle swarm optimization called (PSO in short) to avoid the Runge's phenomenon occurring in many numerical problems. This new approach is tested with some numerical examples including the generalized integral quadrature method in order to solve the Volterra's integral equations.
In this paper an automatic multilevel thresholding approach, based on Binary Particle Swarm Optimization, is proposed. The proposed approach automatically determines the "optimum" number of the thresholds and simultaneously searches the optimal thresholds, by optimizing a function which uses the gray level thresholds as parameters. The algorithm st...
In this paper, our work aims to show how region growing technique may be handled by swarming agents that are self-organisation in response to the local conditions of an image environment. In this approach, we combine the stigmergy mechanism with another type of swarm behavior: particle swarm optimization (PSO). PSO is used for optimize the search o...
Many studies, mostly empirical, have been devoted to finding optimal choice nodes for interpolating. When exploring the underlying factors that determine what is a good such choice, we are led to consider the Runge phenomenon (RP; best known in case of high order polynomial interpolation) as a key error mechanism. However, we shall see by using PSO...
A perturbation method is introduced in the context of dynamical system for solving the nonlinear Korteweg-de Vries (KdV) equation.
Best efficiency is obtained for few perturbative corrections. It is shown that, the question of convergence of this approach
is completely guaranteed here, because a limited number of term included in the series can des...
In our earlier work, we have developed the differential quadratic method (DQ) to find the physical structures of the Schrödinger equation in which the interpolating points of Tchebychev have been used. In this paper the particle swarm optimization (PSO for short) has been suggested as a means to improve qualitatively the solutions. This approach is...
The Silences of the Archives, the Reknown of the Story.
The Martin Guerre affair has been told many times since Jean de Coras and Guillaume Lesueur published their stories in 1561. It is in many ways a perfect intrigue with uncanny resemblance, persuasive deception and a surprizing end when the two Martin stood face to face, memory to memory, befor...
Résumé: Dans ce papier, nous présentons une nouvelle méthode pour la segmentation d'images en niveaux de gris, basée sur le concept d'émergence; par l'adaptation d'une technique de vie artificielle, à savoir l'intelligence en essaim. Nous utilisons le paradigme des agents situés et incarnés dans l'environnement, les agents coordonnent leurs activit...