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The last decade has witnessed a great interest in using evolutionary algorithms, such as genetic algorithms, evolutionary strategies and particle swarm optimization (PSO), for multivariate optimization. This paper presents a hybrid algorithm for searching a complex domain space, by combining the PSO and orthogonal design. In the standard PSO, each particle focuses only on the error propagated back...
We present a particle swarm optimization algorithm OT-PSO using orthogonal test technique. Based on the classical PSO, OT-PSO searches for local optimum in the neighbor area of the global best solution by using the method of orthogonal test design. OT-PSO can probe the solutions uniformly distributed in the search space and select the better ones. Using those better solutions OT-PSO can guide the...
E-learning has been a common online service to support teaching and learning in education. Universiti Teknologi Malaysia (UTM) has been using such service that is known as e-Learning@UTM since 2005. The demand for e-learning content increases dramatically every semester. The performance of e-learning servers reduces when the number of users for each semester keeps growing. Hence users often experience...
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