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In this article, a new fitness assignment scheme to evaluate the Pareto-optimal solutions for multi-objective evolutionary algorithms is proposed. The proposed DOmination Power of an individual Genetic Algorithm (DOPGA) method can order the individuals in a form in which each individual (the so-called solution) could have a unique rank. With this new method, a multi-objective problem can be treated as if it were a singleobjective problem without drastically deviating from the Pareto definition. In DOPGA, relative position of a solution is embedded into the fitness assignment procedures. We compare the performance of the algorithm with two benchmark evolutionary algorithms (Strength Pareto Evolutionary Algorithm (SPEA) and Strength Pareto Evolutionary Algorithm 2 (SPEA2)) on 12 unconstrained bi-objective and one tri-objective test problems. DOPGA significantly outperforms SPEA on all test problems. DOPGA performs better than SPEA2 in terms of convergence metric on all test problems. Also, Pareto-optimal solutions found by DOPGA spread better than SPEA2 on eight of 13 test problems.

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Development of technology increased the attention of the research community on power quality (PQ) disturbance classification problem. This paper presents wavelet based effective feature extraction method and support vector machines (SVM) for PQ disturbance classification problem. Two common kinds of power quality disturbances, voltage sag and swell, are considered in this paper. After multi-resolution signal decomposition of PQ disturbances, feature vector can be obtained. Multi-resolution analysis (MRA) technique of discrete wavelet technique (DWT) and Parseval's theorem are employed to extract the energy distribution features of sag and swell signals. SVM are used to classify these feature vectors of PQ disturbances. Performance of two kinds of method used in SVM is compared aspect of training time and training error.

Programmable logic controllers (PLC) have been one of the most widely used controllers in industry. They have a graphical programming language interface resambling the relay panels which they are intended to replace so that the transition from relay panels might be swift and smooth. Although learning this programming language is easy, real life experiments are essential for students to gain greater understanding of the logic behind the language. However, it is generally too expensive to provide an experimental set-up for students to test their theoretical knowledge. For this reason, a conveyor and feeder system was developed as a low cost 3D printable design using a CAD program and implemented for use in a control laboratory. Using this conveyor set-up, students can experience how to program a practical example of a PLC devices used in industry together with an introduction to actuators and sensors. Reading actual sensors and using actuators via the inputs and outputs of a PLC to control a real life system will be far more effective than simulator alternatives.