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The quality of service guaranteed multicast routing problem (QoS-MRP) is an important issue in wireless mesh networks (WMNs). However, the multicast routing is NP-complete problem. In this paper, this problem is transformed into a multi-objective combinatorial optimization problem. We present an improved discrete particle swarm optimization (PSO) approach for QoS-MRP which takes many key QoS parameters...
How to design an energy efficient routing algorithm is a hot topic in the research of wireless sensor networks. In this paper, based on the analysis of some typical cluster-based routing algorithms, a novel cluster-based energy efficient routing algorithm is proposed to solve the hot spot problem involved in inter-cluster routing and optimize network lifetime. Clusters are formed by local competition...
Artificial ant colony algorithm is new in the evolution computing. The primary study shows it is a better algorithm with robust based population, but it has some shortcomings such as its slow computing speed, and it is easy to fall in local peak in large scale problem. To overcome these deficiencies, an improved ant colony algorithm is designed through abstracting the advantages of particle swarm...
Planning multiple routes for air vehicles can be seen as a multiple-peak function optimization, which is the basis of proposing a new approach to plan multiple routes for air vehicles based on niche particle swarm optimization technology. By means of this approach, you can use a specific particle swarm coding representation and appropriate fitness functions to transform particle swarms within a route...
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