This paper presents the study of differential evolution algorithm with hierarchical fair competition model (HFC-DE). HFC is based on societal system found in natural world. In this model, population split into hierarchy and allowed between members. During evolution, members are to move within levels. The standard used for evolution. Experimentation has carried out define parameter proposed test...

Intrusion detection system (IDS) combines software and hardware to detect network attacks. In this paper, we propose a new intrusion method based on an improved BP neural algorithm. We improve the algorithm by combining it with particle swarm optimization (PSO) differential evolution (DE) also framework common accommodate our network. The experiments CICIDS2017 dataset show approach achieves be...

WSN consists of a large number of tiny sensor nodes distributed over a large area with one or more powerful sinks or base stations collecting information from these sensor nodes. The sensor nodes are equipped with battery and whose battery cannot be replaced after deployment. Therefore, deployment of sensor nodes has serious impact on network lifetime. Deployment can be random or pre-determined...

Differential evolution (DE) is a popular meta-heuristic optimizer which has shown good performance in solving many real-life and benchmark optimization problems. However, DE usually shows slow convergence rate at the last stage of the evolution. To enhance the performance of DE, this paper proposed an improved DE variant (OLSDE) which employs opposition-based concept and local search strategy. ...