Many complex problems (e.g., financial investment planning, foreign exchange trading, data mining from large/multiple databases) require hybrid intelligent systems that integrate many intelligent techniques (e.g., fuzzy logic, neural networks, and genetic algorithms). However, hybrid intelligent systems are difficult to develop because they have a large number of parts or components that have m...

Intelligent control methodologies are being developed to address the control needs of complex systems that exhibit complicated dynamical behaviors. The design, simulation, and verification of intelligent control systems is highly nontrivial and typically involves significant amount of computations. In this paper, we identify and discuss several computational issues that are central in intellige...

a new intelligent photovoltaic (PV) panel structure to extract the maximum power in mismatch irradiance is proposed. In conventional structures, difference of irradiance between series panels can cause the deviation of maximum power point. In this condition tracking MPP becomes difficult and reduces efficiency. Improvements in power electronics and its effects in PV industrial technology, devel...

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The paper deals with the problem of knowledge granularity in case of building intelligent systems. The origin of the problem is discussed, some knowledge classifications are presented, next the links between types of knowledge and knowledge granularity are shown. In the last part of the paper the question of knowledge granularity types and their usage in intelligent systems is presented and dis...

The information society is an economic reality, not an intellectual abstraction. Advanced Interaction Media (AIM) are becoming part of our every day life. Access to knowledge and assistance in knowledge processing are key factors in our changing society where people are provided with more information than before. With the increased automation of "intelligent systems", one might expect that huma...

To solve the problems of low precision, slow convergence speed and difficult data fusion of standard particle filtering algorithm, a new hybrid intelligent optimization algorithm applicable for data fusion is presented in this paper and will conduce to finding the ideal solution domain by making use of the global convergence of artificial fish swarm and enhancement of fusion precision by guidin...

There has been substantial progress in both intelligent systems and robotics in recent years. While in the past robots were most successful in traditional industrial environments, new generations of hybrid intelligent robotic systems are being developed which focus on higher cognitive capabilities, including reasoning learning and language communication. In this talk we will give an overview of...

This work combines pattern search optimization with a statistical emulator based on Treed Gaussian Processes (TGP) to create a new hybrid algorithm. The goal is to use the global probabilistic view provided by TGP to inform the local pattern search and form a more intelligent optimization algorithm. We also propose ways in which the emulator can be used to gain information about the objective f...

In this paper, an intelligent-gradient based algorithm is proposed to solve time optimal bang-bang control problem. The proposed algorithm is a combination of an intelligent algorithm called improved particle swarm optimization algorithm (IPSO) in the first stage of optimization process together with a gradient-based algorithm called successive quadratic programming method (SQP) in the second s...