The paper presents an intelligent wind turbine control system based on models integrating the following three approaches: data mining, model predictive control, and evolutionary computation. To enhance the control strategy of the intelligent system, a multi-objective model is proposed. The model involves five different objectives with different weights controlling the wind turbine performance. ...

Runyao Duan,1, 2 Simone Severini,3 and Andreas Winter4, 5 Centre for Quantum Computation and Intelligent Systems (QCIS), Faculty of Engineering and Information Technology, University of Technology, Sydney NSW2007, Australia State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technolog...

Intelligence has been envisioned as a key component of future problem solving environments for sci-entiic computing. This paper describes a computationally intelligent approach to address a major problem in scientiic computation, i.e., the eecient solution of partial diierential equations (PDEs). This approach is implemented in PYTHIA-a system that supports smart parallel PDE solvers. PYTHIA pr...

We propose a novel class of algorithms for autonomously assembling structures from inert building blocks guided by intelligent scaffolding components. Intelligent scaffold units are equipped with sensing, actuation, computation and communication abilities and facilitate the attachment of inert building blocks to the structure. After attaching an inert building block, the scaffold structure reco...

We propose a novel class of algorithms for autonomously assembling structures from inert building blocks guided by intelligent scaffolding components. Intelligent scaffold units are equipped with sensing, actuation, computation and communication abilities and facilitate the attachment of inert building blocks to the structure. After attaching an inert building block, the scaffold structure reco...

Intelligence should be placed in the context of biology: Intelligence connects perception to action to help an organism survive. Intelligence is computation in the service of life, just as metabolism is chemistry in the service of life. Intelligence does not imply perfect understanding; every intelligent being has limited perception, memory, and computation. Many points on the spectrum of intel...

Variable speed drives are growing and varying. Drives expanse depend on progress in different part of science like power system, microelectronic, control methods, and so on. Artificial intelligent contains hard computation and soft computation. Artificial intelligent has found high application in most nonlinear systems same as motors drive. Because artificial intelligent techniques can use as c...

This paper proposes Hybrid Feature Selection Approach – Heterogeneous Ensemble of Intelligent Classifiers (HyFSA-HEIC) for intelligent lightweight network intrusion detection system (NIDS). The purpose is to classify for anomaly from the incoming traffic. This system hierarchically integrates HyFSA and HEIC. The HyFSA will obtain the optimal number of features and then HEIC is built using these...

EVOLVING INTELLIGENT EMBODIED AGENTS WITHIN A PHYSICALLY ACCURATE ENVIRONMENT By Gene D. Ruebsamen December 2002 This thesis explores the application of evolutionary reinforcement learning techniques for evolving behaviorisms in embodied agents existing within a realistic virtual environment that are subject of the constraints as defined by the Newtonian model of physics. Evolutionary reinforce...