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2016, , Maha Elarbi, , Slim Bechikh
Practical applications in constrained evolutionary multi-objective optimization
In Recent advances in evolutionary multi-objective optimization (pp. 159-179). Cham: Springer International Publishing, 2016
Abstract
Constrained optimization is applicable to most real world engineering science problems. An efficient constraint handling method must be robust, reliable and computationally efficient. However, the performance of constraint handling mechanism deteriorates with the increase of multi-modality, non-linearity and non-convexity of the constraint functions. Most of the classical mathematics based optimization techniques fails to tackle these issues. Hence, researchers round the globe are putting hard effort to deal with multi-modality, non-linearity and non-convexity, as their presence in the real world problems are unavoidable. Initially, Evolutionary Algorithms (EAs) were developed for unconstrained optimization but engineering problems are always with certain type of constraints. The in-dependability of EAs to the structure of problem has led the researchers to re-think in applying the same to the problems incorporating the constraints. The constraint handling techniques have been successfully used to solve many single objective problems but there has been limited work in applying them to the multi-objective optimization problem. Since for most engineering science problems conflicting multi-objectives have to be satisfied simultaneously, multi-objective constraint handling should be one of the most active research area in engineering optimization. Hence, in this chapter authors have concentrated in explaining the constrained multi-objective optimization problem along with their applications.
Slim Bechikh, Maha Elarbi, Lamjed Ben SaidMany-objective optimization using evolutionary algorithms: A survey
In Recent advances in evolutionary multi-objective optimization (pp. 105-137). Cham: Springer International Publishing, 2016
Abstract
Multi-objective Evolutionary Algorithms (MOEAs) have proven their effectiveness and efficiency in solving complex problems with two or three objectives. However, recent studies have shown that the performance of the classical MOEAs is deteriorated when tackling problems involving a larger number of conflicting objectives. Since most individuals become non-dominated with respect to each others, the MOEAs’ behavior becomes similar to a random walk in the search space. Motivated by the fact that a wide range of real world applications involves the optimization of more than three objectives, several Many-objective Evolutionary Algorithms (MaOEAs) have been proposed in the literature. In this chapter, we highlight in the introduction the difficulties encountered by MOEAs when handling Many-objective Optimization Problems (MaOPs). Moreover, a classification of the most prominent MaOEAs is provided in an attempt to review and describe the evolution of the field. In addition, a summary of the most commonly used test problems, statistical tests, and performance indicators is presented. Finally, we outline some possible future research directions in this research area.
, ,A Novel Clustering Algorithm Based on Agent Technology for VANET
International Journal of Network Protocols and Algorithms, Vol 8, N2, pp1-19, 2016., 2016
Abstract
Vehicular Ad-hoc Network (VANET) is a sub-family of Mobile Ad-hoc Network (MANET).The means goal of VANET is to provide communications between nearby nodes or between nodes and fixed infrastructure. Despite that VANET is considered as a subclass of MANET, it has for particularity the high mobility of vehicles producing the frequent changes of network topology that involve changing of road, varying node density and locations of vehicles existing in this road. That‘s why, the most proposed clustering algorithms for MANET are unsuitable for VANET. Various searches have been recently published deal with clustering for VANETs. But most of them are focused on minimizing network overhead value, number of created clusters and had not considered the vehicles interests which defined as any related data used to differentiate vehicle from another (such as traffic congestion, looking for free parking space, etc.). In this paper, we propose a novel clustering algorithm based on agent technology to solve the problems mentioned above and improve routing in VANET. Experimental part show promising results regarding the adoption of the proposed approach.
, ,Routing Challenges and Solutions in Vehicular Ad hoc Networks
Sensors and Transducer journal, 2016
Abstract
Vehicular Ad-hoc Networks (VANETs) are known as a special type of Mobile Ad-hoc Networks (MANETs) specialized in vehicular communications. These networks are based on smart vehicles and basestations, which share data by means of wireless communications. To route these information, a routing protocol is required. Since the VANETs have a particular network features as rapidly changeable topology, designing an efficient routing scheme is a very hard task. In this paper, we mainly focus on surveying new routing protocols dedicated to VANETs. We present unicast, multicast and broadcast protocols. The experimental results are discussed to evaluate the performance of the presented methods.
, ,VANETs Networking Protocols : An Analytical study
The Tenth International Conference on Sensor Technologies and Applications ( SENSORCOMM 2016), 2016
Abstract
Vehicular Ad hoc NETworks (VANETs) are considered as a class of Mobile Ad hoc NETworks (MANETs). The VANETs are a set of vehicles that are capable of exchanging data dynamically and without needing any pre-existing and fixed network infrastructure. Each node sends and receives messages in its communication area. Thus, message routing is done through a routing protocol. Despite the fact that the VANETs are a subgroup of the MANETs, they possess exceptional network behaviors like high mobility and dynamic topology, which make the MANETs routing protocols unsuitable for the VANETs. This paper summarizes the different protocols used for routing in the VANETs that focuses on a vehicle-to-vehicle communication. Utilizing an OMNET++ simulator, the experimental results are discussed to compare the presented routing protocol categories.
, ,Novel Optimized Routing Scheme for VANETs »
The 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (Elsevier, EUSPN-2016), 2016
Abstract
The Vehicular ad -hoc networks (VANETs) are a specific type of Mobile ad-hoc networks (MANETs). However, the main problem related to it is the potential high speed of moving vehicles. This special property causes frequent changing in network topology and instability of communication routes. Consequently, some of the challenges that researchers focus on are routing protocols for VANETs. They have proved that the existing MANET proactive routing protocols are the most used for vehicular communication. Yet, they are not as adequate as they are for VANETs. The main problem with these protocols in dynamic environment is their route instability. This paper combines multi-agent system approach and PSO algorithm to solve the above mentioned problems. We carried out a set of simulations tests to evaluate the performance of our scheme. The simulation part shows promising results regarding the adoption of the proposed scheme.
, ,An Enhanced AODV Routing Protocol for Vehicular Adhoc Networks
International conference on Big Data and Advanced Wireless technologies (ACM,BDAW 2016), 2016
Abstract
The key difference of Vehicular Ad- hoc Network (VANET) and Mobile Ad-hoc Network (MANET) is the exceptional mobility pattern and quick variability variable of network topology. The existing MANET routing protocols are inadequate for the VANET. One good manner of data sending in vehicular environment is to enhance the MANET routing protocols and make them appropriate for the VANET. Ad-hoc On-demand Distance Vector (AODV) is one of the most important MANET reactive protocols. Nevertheless, once we have to deal with a VANET, its performance is poor. In this paper, we propose an enhancing the AODV routing protocol based on agent technology to improve the Quality of Service (QoS) in VANET. The experimental results show that our approach outperforms the AODV protocol in terms of routing overhead, dropped packets rate and transfer packets delay.
Maha Elarbi, Slim Bechikh, Lamjed Ben Said,Multi-objective optimization: classical and evolutionary approaches
In Recent advances in evolutionary multi-objective optimization (pp. 1-30). Cham: Springer International Publishing, 2016
Abstract
Problems involving multiple conflicting objectives arise in most real world optimization problems. Evolutionary Algorithms (EAs) have gained a wide interest and success in solving problems of this nature for two main reasons: (1) EAs allow finding several members of the Pareto optimal set in a single run of the algorithm and (2) EAs are less susceptible to the shape of the Pareto front. Thus, Multi-objective EAs (MOEAs) have often been used to solve Multi-objective Problems (MOPs). This chapter aims to summarize the efforts of various researchers algorithmic processes for MOEAs in an attempt to provide a review of the use and the evolution of the field. Hence, some basic concepts and a summary of the main MOEAs are provided. We also propose a classification of the existing MOEAs in order to encourage researchers to continue shaping the field. Furthermore, we suggest a classification of the most popular performance indicators that have been used to evaluate the performance of MOEAs.
Saoussen Bel Haj Kacem, ,A diagnosis aid system of autism in a multi-valued framework
Uncertainty Modelling in Knowledge Engineering and Decision Making. September 2016, 405-410, 2016
Abstract
We introduce in this paper a tool for the diagnosis of autism called DASAutism. For this, we use our knowledge-based system shell RAMOLI. This system handles knowledge in the multi-valued context. Moreover, its inference engine executes an approximate reasoning based on linguistic modifiers that we have introduced in a previous work. We have built a knowledge base that represents the domain expertise, in collaboration with the child psychiatry department of Razi hospital.
Islem Henane, , ,Modeling Organizational and Institutional Aspects in Renewable and Natural Resources Management Context
In: Baldoni, M., Chopra, A., Son, T., Hirayama, K., Torroni, P. (eds) PRIMA 2016: Principles and Practice of Multi-Agent Systems. PRIMA 2016. Lecture Notes in Computer Science(), vol 9862. Springer, Cham, 2016
Abstract
Since 1990, there has been a striking increase in using multi-agent systems to study renewable resources management systems. The ultimate objective is to contribute to decisions support on resources management. The adopted strategic decisions are always joined with access to resources norms. However, the defined norms are statics and suppose that all agents are not autonomous and always obey to the underlying norms which do not reflect reality. In previous work, we proposed ML-MA , a multi-level multi-agent architecture to support renewable resources management systems modeling. In this work, we focus on the integration of normative aspects in our architecture. Our approach is illustrated using “Ouled Chehida” case study from Tunisian pastoral context.
