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Keywords: Hydrothermal power systems Economic load scheduling Combined economic emission scheduling Quantum-behaved particle swarm optimization a b s t r a c t This paper presents an improved quantum-behaved particle swarm optimization (IQPSO) for short-term combined economic emission hydrothermal scheduling, which is formulated as a bi-objective problem:(More)
In this paper we describe a new approach to distinguish and extract text from images with various objects and complex backgrounds. The goal of our approach is to present characters in images with clear background and without other objects. The proposed approach mainly includes two steps. Firstly, a density-based clustering method is employed to segment(More)
We study the quantum version of a decision tree classifier to fill the gap between quantum computation and machine learning. The quantum entropy impurity criterion which is used to determine which node should be split is presented in the paper. By using the quantum fidelity measure between two quantum states, we cluster the training data into subclasses so(More)
Based on the previous introduced quantum-behaved particle swarm optimization (QPSO), in this paper, a revised novel QPSO with hybrid cooperative search is proposed. Taking full advantages of the characteristics of mutualism among swarms, the cooperative search is carried out to improve the diversity of the swarms, so as to help the system escape from local(More)
Keywords: Hydrothermal power systems Combined economic emission scheduling Differential evolution Quadratic approximation Interactive bi-objective programming with valuable trade off Priority list a b s t r a c t Short-term combined economic emission hydrothermal scheduling (CEES) is a bi-objective problem: (i) minimizing fuel cost and (ii) minimizing(More)