Evolutionary algorithms are considered more efficient for optimal system design because they can provide higher opportunity for obtaining the global optimal solution. This paper introduces a method for construct and train Recurrent Neural Networks (RNN) by means of Multi-Objective Genetic Algorithms (MOGA). The use of a multi-objective evolutionary algorithm allows the definition of many object...

We describe the design and implementation of pD, a parallel variant of a small functional language that serves as a programming interface for the parallel computer algebra package PACLIB. pD provides several facilities to express parallel algorithms in a exible way on diierent levels of abstraction. The compiler translates a pD module into statically typed parallel C code with explicit task cre...

The hub location problem is employed for many real applications, including delivery, airline and telecommunication systems and so on. This work investigates on hierarchical hub network in which a three-level network is developed. The central hubs are considered at the first level, at the second level, hubs are assumed which are allocated to central hubs and the remaining nodes are at the third ...

`Constraint hierarchy' is a nonmonotonic system that allows programmers to describe over-constrained real-world problems by specifying constraints with hierarchical preferences, and has been applied to various areas. An important aspect of constraint hierarchies is the existence of e cient satisfaction algorithms based on local propagation. However, past local-propagation algorithms have been l...

Multi-label learning has become an important area of research due to the increasing number of modern applications that contain multi-label data. The multi-label data are structured in a more complex way than single-label data. Consequently the development of techniques that allow the improvement in the performance of machine learning algorithms over multi-label data is desired. The feature weig...

The development of intelligent control algorithms for robotic assets to be used in coalition operations is impeded by a significant gap between the way the theoretical artificial intelligence (A.I.) algorithms have been traditionally designed and validated and the way the practical algorithms for controlling robotic assets in (simulated) tactical missions are developed. On the first front, synt...

Placement process is one of the vital stages in physical design. In this stage, modules and elements of circuit are placed in distinct locations according to optimization basis. So that, each placement process tries to influence on one or more optimization factor. In the other hand, it can be told unequivocally that FPGA is one of the most important and applicable devices in our electronic worl...