Recently, different metaheuristic techniques, their variants, and hybrid forms have been extensively used to solve economic load dispatch (ELD) problems with without valve point loading (VPL) effects. Due the randomization involved in these one has perform extensive runs for each experiment get an optimal solution. The process may sometimes become laborious time-consuming converge On other hand...

Abstract Aiming at the constrained optimization problem where function evaluation is time-consuming, this paper proposed a novel algorithm called data-driven Harris Hawks (DHHCO). In DHHCO, Kriging models are utilized to prospect potentially optimal areas by leveraging computationally expensive historical data during optimization. Three powerful strategies are, respectively, embedded into diffe...

Résumé. Dans de nombreuses applications, une co-classification est plus facile à interpréter qu’une classification mono-dimensionnelle. Il s’agit de calculer une bi-partition ou collection de co-clusters : chaque co-cluster est un groupe d’objets associé à un groupe d’attributs et les interprétations peuvent s’appuyer naturellement sur ces associations. Pour exploiter la connaissance du domaine...

The geometry of the tracks left by a bicycle has received much attention recently [9, 10, 11, 18, 20, 27]. In this paper we discuss the connection between the motion of a bicycle and that of a curious device known as a hatchet planimeter, and we will prove a conjecture about this planimeter that was made in 1906. Bicycle. We use a very simple model of a bicycle as a moving segment in the plane....

We can learn a lot about what features are important for retrieval by comparing similar cases in a case-base. We can determine which features are important in predicting outcomes and we can assign weights to features accordingly. In the same manner we can discover which features are important in specific contexts and determine localised feature weights that are specific to individual cases. In ...