2023 - Research.com Computer Science in Iran Leader Award
His scientific interests lie mostly in Control theory, Control theory, Artificial intelligence, BELBIC and Control engineering. Caro Lucas interconnects Genetic algorithm and Fuzzy logic in the investigation of issues within Control theory. His Genetic algorithm study is associated with Mathematical optimization.
His Control theory study incorporates themes from Intelligent control, MIMO, Multivariable calculus and Reusability. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Computer vision. His Algorithm research incorporates elements of Evolutionary algorithm and Spectral method.
The scientist’s investigation covers issues in Artificial intelligence, Control theory, Fuzzy logic, Control theory and Algorithm. Caro Lucas works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Classifier and Data mining, as a part of the same area of interest. In his work, Electronic speed control is strongly intertwined with Control engineering, which is a subfield of Control theory.
His research on Fuzzy logic frequently connects to adjacent areas such as Mathematical optimization. Genetic algorithm, Optimization problem and Particle swarm optimization are among the areas of Mathematical optimization where Caro Lucas concentrates his study. His research investigates the connection between Algorithm and topics such as Linear model that intersect with issues in Tree.
Artificial intelligence, Control theory, Fuzzy logic, Control theory and Algorithm are his primary areas of study. A large part of his Artificial intelligence studies is devoted to Artificial neural network. His Control theory research includes elements of Imperialist competitive algorithm, Process and Finite element method.
His Fuzzy logic research is multidisciplinary, relying on both Mathematical optimization and Nonlinear system. His research investigates the connection with Control theory and areas like Intelligent control which intersect with concerns in DC motor. His biological study spans a wide range of topics, including Chaotic, Data set and Identification.
Caro Lucas mainly focuses on Artificial intelligence, Control theory, Control engineering, Control theory and BELBIC. The various areas that Caro Lucas examines in his Artificial intelligence study include Statistics, Linear model, Computer vision and Nonlinear system. His work deals with themes such as Engineering drawing and Finite element method, which intersect with Control theory.
His work investigates the relationship between Control engineering and topics such as Overhead that intersect with problems in Artificial neural network. Caro Lucas has included themes like Intelligent control, Models of neural computation and Robustness in his Control theory study. His study in Fuzzy set operations is interdisciplinary in nature, drawing from both Algorithm and Data mining.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
E. Atashpaz-Gargari;C. Lucas.
congress on evolutionary computation (2007)
A novel numerical optimization algorithm inspired from weed colonization
Ali Reza Mehrabian;Caro Lucas.
Ecological Informatics (2006)
Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications
H R Mahdiani;A Ahmadi;S M Fakhraie;C Lucas.
IEEE Transactions on Circuits and Systems I-regular Papers (2010)
Mutual information-based feature selection for intrusion detection systems
Fatemeh Amiri;MohammadMahdi Rezaei Yousefi;Caro Lucas;Azadeh Shakery.
Journal of Network and Computer Applications (2011)
Optimal Placement of Phasor Measurement Units Using Immunity Genetic Algorithm
F. Aminifar;C. Lucas;A. Khodaei;M. Fotuhi-Firuzabad.
IEEE Transactions on Power Delivery (2009)
Introducing Belbic: Brain Emotional Learning Based Intelligent Controller
Caro Lucas;Danial Shahmirzadi;Nima Sheikholeslami.
Intelligent Automation and Soft Computing (2004)
Colonial competitive algorithm A novel approach for PID controller design in MIMO distillation column process
Esmaeil Atashpaz Gargari;Farzad Hashemzadeh;Ramin Rajabioun;Caro Lucas.
International Journal of Intelligent Computing and Cybernetics (2008)
Intrusion detection using a fuzzy genetics-based learning algorithm
M. Saniee Abadeh;J. Habibi;C. Lucas.
Journal of Network and Computer Applications (2007)
Application of an imperialist competitive algorithm to the design of a linear induction motor
Caro Lucas;Zahra Nasiri-Gheidari;Farid Tootoonchian.
Energy Conversion and Management (2010)
Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study
Ali Gholipour;Babak N. Araabi;Caro Lucas.
Neural Processing Letters (2006)
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