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 Authors are invited to submit their original and unpublished work related to swarm intelligence, including research, theory, development, and applications.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 ...
Takahama, T.; Sakai, S.; Iwane, N. Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on, 2006
The ε constrained method is an algorithm transformation method, which can convert algorithms for unconstrained problems to algorithms for constrained problems using the ε level comparison that compares search points based on the constraint violation of them. We propose the ε constrained differential evolution εDE, which is the combination of the ε constrained method and differential evolution (DE). DE is ...
Bo-Yang Qu; Suganthan, P.N.; Pandi, V.R.; Panigrahi, K.B. Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on, 2010
In this paper, the nonlinear constrained multi-objective environmental economic dispatch (EED) problem is solved using fast multi-objective evolutionary programming (FMOEP). Due to the global warming by fossil fuel, environmental concern becomes more and more important in recent years. The purpose of multi-objective optimization algorithm is minimizing all the different objectives simultaneously and finds the best tradeoff solution for this environmental/economic ...
Zhang Dingxue; Guan Zhihong; Liu Xinzhi Control Conference, 2007. CCC 2007. Chinese, 2007
To improve performance of particle swarm optimization (PSO) algorithm and avoid trapping to local minima, a multi-population parallel particle swarm optimization (DPPSO) algorithm is proposed. In the algorithm, sub populations are divided into exploration and exploitation types. The global version PSO is used in the exploration population to enhance ability of exploring the best individual, and the local version PSO ...
Cobos, C.; Mendoza, M.; Leó n, E. Evolutionary Computation (CEC), 2011 IEEE Congress on, 2011
This paper introduces a new description-centric algorithm for web document clustering called HHWDC. The HHWDC algorithm has been designed from a hyper- heuristic approach and allows defining the best algorithm for web document clustering. HHWDC uses as heuristic selection methodology two options, namely: random selection and roulette wheel selection based on performance of low- level heuristics (harmony search, an improved ...
Lianying Zhou; Fengyu Liu; Jie Wu Systems, Man and Cybernetics, 2004 IEEE International Conference on, 2004
There are multiple reasons for present serious status of network security, including the Internet itself having a weak basis, the current security technologies having drawbacks and limitations and the dilemmas between security performance and cost. As the foundation, a security infrastructure based on an active network is provided. The infrastructure utilizes the active network's programmable, active and dynamic characters; various ...
Micro-Apps 2013: Alternative Methods and Optimization Techniques for Vector Modulation
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ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
From Maxwell's Equations to Modern Electromagnetics and Antenna Engineering Marvels
Micro-Apps 2013: Frequency Planning Synthesis for Wireless Systems Design
Micro-Apps 2013: EM Simulation Tools in Evolution within Circuit Design
Micro-Apps 2013: Optimizing Chip, Module, Board Transitions Using Integrated EM and Circuit Design Simulation Software
2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
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