In practice, obtaining the global optimum for the economic dispatch {bf (ED)}problem with ramp rate limits and prohibited operating zones is presents difficulties. This paper presents a new andefficient method for solving the economic dispatch problem with non-smooth cost functions using aFuzzy Adaptive Genetic Algorithm (FAGA). The proposed algorithm  deals  with the issue ofcontrolling the ex...

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...

It is with the aim of solving scheduling problems with irregular cost functions that this paper focuses on the continuous assignment problem. It consists in partitioning a region of R into subregions of prescribed volumes so that the total cost is minimized. The dual problem of the continuous assignment problem is an unconstrained maximisation of a non-smooth concave function. The preemptive va...