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IEEE18d
NURBS values based on multi-objective particle swarm optimization algorithm for optimal power flow problem in power system
Abstract: The research on Optimal Power Flow (OPF) problems in power systems has undergone ... curve concept into the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm can significantly ...
IEEE21d
Identification and Selection of Flow Features for Accurate Traffic Classification in SDN
In this paper, we introduce an architecture to collect, extend, and select flow features for traffic classification in Open Flow-based networks. The main goal of our solution is to offer an extensive ...
Frontiers22d
Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller
The current study’s objective is to reveal the best possible solution for an optimal power flow ... of input control parameters. 3. There is a scope of population diversification 4. Challenges may ...