Particle swarm optimization
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2014 IEEE Congress on Evolutionary Computation (CEC)
IEEE Congress on Evolutionary Computation is the largest technical event in the field of evolutionary computation. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.
2014 IEEE World Congress on Computational Intelligence (WCCI)
IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. IEEE WCCI 2014 will host three conferences: The 2014 International Joint Conference on Neural Networks, the 2014 IEEE International Conference on Fuzzy Systems, and the 2014 IEEE Congress on Evolutionary Computation.
2013 IEEE Symposium on Swarm Intelligence (SIS)
It will be part of the IEEE Symposium Series on Computational Intelligence 2013, which consists of over 20 symposia. The theme of the SIS2013 is to provide a platform for researchers, academicians, students, engineers, and government officers from all over the world to share and exchange information in the swarm intelligence research areas ranging from algorithm development to real-world applications. Authors are invited to submit their original and unpublished work related to swarm intelligence, including research, theory, development, and applications.
Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.
2012 5th International Conference on Intelligent Networks and Intelligent Systems (ICINIS)
The 5th International Conference on Intelligent Networks and Intelligent Systems (ICINIS 2012) aims to provide an international forum for scientists, engineers, and educators to present the state of the art of intelligent networks and systems research and applications in various disciplines.
Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.
Systems engineering, including efforts that involve issue formnaulations, issue analysis and modeling, and decision making and issue interpretation at any of the life-cycle phases associated with the definition, development, and implementation of large systems. It will also include efforts that relate to systems management, systems engineering processes and a variety of systems engineering methods such as optimization, modeling and simulation. ...
The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...
The IEEE Transactions on Sustainable Energy is a cross disciplinary and internationally archival journal aimed at disseminating results of research on sustainable energy that relates to, arises from, or deliberately influences energy generation, transmission, distribution and delivery. The journal will publish original research on theories and development on principles of sustainable energy technologies and systems.This journal will cover the following ...
Tarnpradab, S.; Mehrotra, K.; Mohan, C.; Chandler, D.G. Computational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on, 2014
This study aims to improve stream-ow forecast at Reynolds Mountain East watersheds, which is located at the southernmost of all watersheds in Reynolds Creek Experimental Watershed Idaho, USA. Two separate models, one for the annual data and the other for the seasonal (April-June) data from 1983-1995 are tested for their predictability. Due to the difficulties in collecting data during winter ...
Jieming Ma; Ka Lok Man; Ting, T.O.; Nan Zhang; Sheng-Uei Guan; Wong, P.W.H. Computer, Consumer and Control (IS3C), 2014 International Symposium on, 2014
Bio-inspired metaheuristic algorithms have been widely proposed to estimate parameters of photovoltaic (PV) models in recent years due to its ability to handle nonlinear functions regardless of the derivatives information. However, these algorithms normally utilize multiple agents/particles in the search process, and it takes much time to search the possible solutions in the whole search domain by sequential computing devices. ...
Yi Liang; Weimin Zhong; Feng Qian Intelligent Control and Automation (WCICA), 2010 8th World Congress on, 2010
Dynamic optimization is one of the important research area in the intelligence computation field. For a decade, various dynamic benchmark test functions have been put forward. Generally speaking, though these functions help to improve a lot on the dynamic algorithms design, the fact that the whole landscape might affects the algorithm's performance rather than that of the way it changes ...
Emami, S.A.; Poudeh, M.Bayati; Eshtehardiha, S. Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on, 2008
Nowadays DC-DC Converters are used for controlling and stabilizing DC voltages, feeding electric vehicles, telephone sets and industrial inverters. Recently improving the performance of the DC-DC converters is one of the goals of engineers in the industries and several control methods are used to control Buck converters. In this paper, PI and PID controllers are used to optimize the DC-DC ...
Saed, A.A.A.; Kadir, W.M.N.W. Software Engineering (MySEC), 2011 5th Malaysian Conference in, 2011
Component-Based System (CBS) is an approach to build applications from deployed components. It provides efficiency, reliability, maintainability. The challenge of interpreting the results of performance analysis and generate alternative design to build component system is quite critical in the software performance domain. Although, many approaches have been proposed and were successfully applied to predict software performance, still span of design ...
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2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
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