Absfmct-This paper presents a new approach to economic load dispatch (ELD) problems with non-smwth objective functions using a particle swarm optimization (PSO). In practice, ELD problems have non-smooth objective functions with equality and inequality constraints that make it difficult to find the global optimum using any mathematical approaches. In this paper, a new PSO framework is suggested...

We present a theoretical study of the recovery of images x from noisy data y by minimizing a regularized cost-function F(x, y) = Ψ(x, y) + αΦ(x), where Ψ is a data-£delity term, Φ is a smooth regularization term and α > 0 is a parameter. Generally, Ψ is a smooth function; only a few papers make an exception. Non-smooth data-£delity terms are avoided in image processing. In spite of this, we con...

this paper focuses upon the development of an efficient method for conceptual design optimization of a satellite. there are many option for a satellite subsystems that could be choice, as acceptable solution to implement of a space system mission. every option should be assessment based on the different criteria such as cost, mass, reliability and technology contraint (complexity). in this rese...

We consider here a multicommodity flow network optimization problem with nonconvex but piecewise convex arc cost functions. We derive complete optimality conditions for local minima based on negative-cost cycles associated with each commodity. These conditions do not extend to the convex non-smooth case.

In the context of the derivative-free optimization of a smooth objective function, it has been shown that the worst case complexity of direct-search methods is of the same order as the one of steepest descent for derivative-based optimization, more precisely that the number of iterations needed to reduce the norm of the gradient of the objective function below a certain threshold is proportiona...