Za'er Salim Abo-Hammour

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In this paper, as a machine learning or system modeling, a novel genetic algorithm (GA) approach for solving university course timetabling problem is presented. The designed timetabling is free of any hard constraint violations and satisfies most of the soft constraints as much as realistically possible. When compared with other methods, the followings were(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: Keywords: Continuous genetic algorithm System of boundary value problem Finite(More)
In this paper, the authors describe a novel technique based on continuous genetic algorithms (CGAs) to solve the path generation problem for robot manipulators. We consider the following scenario: given the desired Cartesian path of the end-effector of the manipulator in a free-of-obstacles workspace, off-line smooth geometric paths in the joint space of(More)
A robust computational technique for model order reduction (MOR) of multi-time-scale discrete systems (single input single output (SISO) and multi-input multioutput (MIMO)) is presented in this paper. This work is motivated by the singular perturbation of multi-time-scale systems where some specific dynamics may not have significant influence on the overall(More)