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Social media have opened a venue for online users to post and share their opinions in different life aspects, which leads to big data. As a result, sentiment analysis has become a fast-growing field of research in Natural Language Processing (NLP) owing ...

Deep reinforcement learning techniques have become quite widespread over the last decades. One challenge is the Exploration-Exploitation Dilemma. Although many exploration techniques for single-agent and multi-agent deep reinforcement learning are ...

Fuzzy control is an intelligent software performed to tune a process and make it react in a desirable way. Nowadays, many researchers are interested in the Fuzzy Proportional-Integral-Derivative (FPID) controller because of its performance and ...

Balancing diversity and convergence seems to be a difficult task when solving multi-objective optimization problems (MOPs). For addressing this issue, researchers’ interest has been drawn to hybrid approaches since this cooperation allows ...

The Traveling Thief Problem (TTP) is a new problem recently proposed in the literature. The TTP combines two well-known optimization problems: the knapsack problem (KP) and the travelling salesman problem (TSP). In this paper, new hybrid ant colony ...

In this paper, the fully cooperative multi-agent system is studied, in which all of the agents share the same common goal. The main difficulty in such systems is the coordination problem: how to ensure that the individual decisions of the agents ...

This paper investigates the effect of agents coalitional strategy on their effectiveness using an evaluation approach that causes no alteration of the global systems performance. Cooperation process is thus considered during the execution of a ...

To ensure complex systems reliability and to extent their life cycle, it is crucial to properly and timely detect and localize the causes of eventual faults. In this context, this paper describes a new intelligent approach to diagnose (single and ...

Approximate reasoning allows inferring with imperfect knowledge. It is based on a generalization of modus ponens (MP) known as generalized modus ponens (GMP). We are interested in approximate reasoning within symbolic multi-valued logic framework. In a ...

Recently, the composition of Web services has become an arduous task for several essential reasons. The task of automatically composing Web services involves two main composition processes, Vertical and Horizontal composition. Vertical composition ...

Fuzzy rule-based classification systems are very useful tools in the field of machine learning as they are able to build linguistic comprehensible models. However, these systems suffer from exponential rule explosion when the number of variables ...

AbstractIn the reliability modeling field, we sometimes encounter systems with uncertain structures, and the use of fault trees and reliability diagrams is not possible. To overcome this problem, Bayesian approaches offer a considerable efficiency in ...

Cased-Based Reasoning (CBR) is based on the use of previous experiences to solve new problems. In this work, we propose to use CBR paradigm for solving control reconfiguration problems. The reconfiguration task aims to maintain the system working ...

Global stereo matching methods aim to reduce the sensibility of stereo correspondence to ambiguities caused by occlusions, poor local texture or fluctuation of illumination. However, when facing the problem of real-time stereo matching, as in robotic ...

Industrial systems are complex, distributed and need high-quality tools for their control and monitoring. Although, multiagent systems (MAS) are well adapted to such applications, there is still a gap between academic research on MAS and their potential ...

Linguistic modifiers, defined by Zadeh in fuzzy logic context, are operators that transform a linguistic term to another linguistic term. Akdag and al. extend linguistic modifiers to symbolic multivalued logic context, and called them Generalized ...

We describe a delay-based end-to-end congestion control algorithm, called Very FAST TCP (VFAST), which is an extension of FAST TCP. The idea behind this extension is to smoothly estimate the round-trip-time, which eliminates throughput and queue ...

Many MultiAgent Systems (MAS) have been developed in various application domains such as computer networks, Internet, industrial applications, automation, process control, air traffic, robotic, simulation, etc. In spite of the rapid growth of the ...

In this paper a multilayer Perceptron (MLP), a Probabilistic Neural Network (PNN) and a fuzzy approach are proposed in on-line sensors and actuators fault detection and isolation for systems with parameter uncertainties. The residuals obtained by ...

An hybrid dynamic system (HDS) is the result of interaction between continuous dynamics and discrete events. The modelling of this class of physical systems is possible when using tools supporting a combined modelling approach. We propose to model a ...