- Book Chapter
2
- 10.1007/978-3-030-73882-2_98
Optimization of the Ad Hoc Network by Using Hybridization of Genetic Algorithm with a Two-Optimization Algorithm
- Jan 01, 2021
- Hala Khankhour + 2 more +2
This article presents a hybrid genetic algorithm (GA) with two-optimization algorithm, to find a solution to the problem routing in Ad Hoc network big map, the objective is to find the shortest possible distance between a transmitter head (cluster, node, intermediate or advanced) and the base station. From studies and remarks, it has been proved that in the topologies of the large Ad Hoc network, the node responsible for transmitting to the base station sometimes used up its total energy and became inactive. So, there are many techniques to solve the problem routing in Ad Hoc networks, like GA (Genetic Algorithm), SA (Simulated Annealing), and BA (Bat Algorithm). In this article, we are focus on the (GA) that are present in the basic approaches of our work. We propose an analysis of these metaheuristics by identifying the fundamental ideas and propose ways to guide the choice of a metaheuristic in practice, particularly in Ad Hoc big map network, to find the best path between two nodes in communication. Thereafter, we try to more optimizer our algorithm by using a 2-optimizer algorithm, and we compare between two method GA and GA-2opt, the result show much better quality of our solution to adjust the problem of routing in big map Ad Hoc network.KeywordsArtificial intelligenceGenetic algorithmTwo-optimization algorithmAd Hoc network
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