원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
vol.3 no.4
2010.12
pp.57-68
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Genetic Algorithm with Multiobjective formulations are realistic models for many complex engineering optimization problems such as QoS routing protocol for mobile ad hoc network. The paper presents QoS routing protocol for MANET with specialized encoding, initialization, crossovers, mutations, fitness selections and route search using genetic algorithm with multiple objectives. The aim is to find the best QoS route in order to optimize the design of MANET routing protocols. This NP-hard problem is often highly constrained such that random initialization and standard genetic operators usually generate infeasible networks. The performances of the protocol was done to indicate the feasible of the proposed multiobjectives formulation.
목차
Abstract
1. Introduction
2. QoS Route Selection Strategies
2.1 Problem Statement
2.2 Multiple Objectives Optimization Formulation
3. The Genetic Algorithm Implementation
3.1 Encoding and Limited Population Initialization
3.2 Fitness of the Multiple Objectives Function
3.3 Mobile Nodes Crossover
3.4 Route Mutation
3.5 Selection Schemes, GA Parametric Evaluations and Preferences
3.6 Qos Routing Performances
4. Conclusions
References
1. Introduction
2. QoS Route Selection Strategies
2.1 Problem Statement
2.2 Multiple Objectives Optimization Formulation
3. The Genetic Algorithm Implementation
3.1 Encoding and Limited Population Initialization
3.2 Fitness of the Multiple Objectives Function
3.3 Mobile Nodes Crossover
3.4 Route Mutation
3.5 Selection Schemes, GA Parametric Evaluations and Preferences
3.6 Qos Routing Performances
4. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보