A new multiobjective selection procedure for Genetic Algorithms based on the paradigms of fuzzy logic is discussed and compared to the niched Pareto selection procedure. In the example presented here the fuzzy logic procedure optimized the parameters of a series of functions in a more efficient manner than the niched Pareto approach. The main advantage that the fuzzy logic approach has over the...

This paper mainly addresses the balance control of a ball and beam system, where a pair of decoupled fuzzy sliding-mode controllers (DFSMCs) are proposed. The DFSMC has the advantage of reducing the design complexity, in which the coupling dynamics of the state-error dynamics are considered as disturbance terms. Stability analysis of the ball and beam system with DFSMCs is also discussed in det...

Abstract Providing connectivity to high-density traffic demand is one of the key promises future wireless networks. The open radio access network (O-RAN) critical drivers ensuring such in heterogeneous Despite intense interest from researchers this domain, challenges remain ensure efficient resource allocation and utilization. This paper proposes a dynamic forecasting scheme predict federated O...

We investigate and propose two new Bonferroni means, that is, the optimized weighted BM (OWBM) and the generalized optimized weighted BM (GOWBM), whose characteristics are to reflect the preference and interrelationship of the aggregated arguments and can satisfy the basic properties of the aggregation techniques simultaneously. Further, we propose the intervalvalued intuitionistic fuzzy optimi...

The work describes an automatically online Self-tunable PI-type fuzzy inference system with application of control approach to nonlinear system. In this paper, we describe a neuro-fuzzy controller as a STFIS (Self Tuning Fuzzy Inference System) optimized online using the rules of Takagi-Sugeno type, and a back propagation learning algorithm which is used to minimize a cost function that is made...

So the network aims at satisfying their demands without much degradation of quality in terms of call dropping and call blocking. It is possible by admission control algorithms and by optimizing the sharing and utilization of existing resources in an effective way. It improves the overall performance of the network system. This paper addresses different Quality of Service (QoS) requirements of t...

In order to solve the problem that automatic train operation control system considering the single factor and control is not easy to be accurate, a multi-objective optimization (MO) based on improved genetic algorithm (GA) and fuzzy PID control method is proposed in this paper. Firstly, based on train operation characteristics, a multi-objective model of train operation process is established. ...

In this paper, the immune controller, is used to control the paralleled DC-DC converters. A PID controller is first applied and its coefficient is optimized using an intelligent (PSO) algorithm. Immune controller is then added to PID controller and an immune PID controller is formed. Two methods have been suggested to determine non-linear behavior of immune controller. In the first method, an e...