This paper deals with the control problems of a wind turbine working in its nominal zone. In this region, speed is controlled by means pitch angle, which keeps power constant against fluctuations. The non-uniform profile causes tower displacements that must be reduced to improve lifetime. work, an adaptive structure operating on angle variable proposed for nonlinear model provided FAST software...

Cloud Computing has rapidly emerged as a successful paradigm for providing Information and Communication Technology (ICT) infrastructure. Resource allocation is used to execute user applications in the form of requests consolidated resources order minimize energy consumption violation Service Level Agreement (SLA) large-scale data centers resource utilization. The usually caused due local entra...

The need for mechanical metamaterials with large strain range and lightweight properties are evidenced to engineering applications. In this regard, novel helical structures proposed as suitable unit cell’s components of metamaterials. Three-dimensional composed varying coil numbers, defined in a cylindrical spatial domain shape optimized through genetic algorithm finite element script conflicti...

The solving of large-scale multi-objective optimization problem (LSMOP) has become a hot research topic in evolutionary computation. To better solve this problem, paper proposes self-organizing weighted based framework, denoted S-WOF, for addressing LSMOPs. Compared to the original there are two main improvements our work. Firstly, S-WOF simplifies stage into one stage, which evaluating numbers...

Decision-makers in synchromodal transport (ST) have different preferences toward objectives, such as cost, time, and emissions. To solve the conflicts among objectives obtain preferred solutions, a preference-based multi-objective optimization model is developed. In ST, containers need to be transferred across modes, therefore problem formulated pickup delivery with transshipment. The of decisi...

in this study, a multi-objective genetic algorithm (moga) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear multi-input multi-output (mimo) systems. in the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. furthermore, se- curing low-level and high-level ...

a theorem was recently introduced to establish a relationship betweengoal programming and fuzzy programming for vectormaximum problems.in this short note it is shown that the relationship does not exist underall circumstances. the necessary correction is proposed.