Cognitive radio (CR) is an innovative and contemporary technology that has been making effort to overcome the problems of bandwidth reduction by rising usage mobile cellular connections. The reallocation distribution channels a fundamental characteristic networks (CMN) exploit consumption CMS. Meanwhile, throughput maximization might lead higher power utilization, spectrum sensing system must t...

This paper proposes a combination of particle swarm optimization (PSO) and Q-value based safe reinforcement learning scheme for neuro-fuzzy systems (NFS). The proposed Q-value based particle swarm optimization (QPSO) fulfills PSO-based NFS with reinforcement learning; that is, it provides PSO-based NFS an alternative to learn optimal control policies under environments where only weak reinforce...

A quantum hybrid (QH) intelligent approach that blends the adaptive search capability of the quantum-behaved particle swarm optimisation (QPSO) method with the intuitionistic rationality of traditional fuzzy k-nearest neighbours (Fuzzy k-NN) algorithm (known simply as the Q-Fuzzy approach) is proposed for efficient feature selection and classification of cells in cervical smeared (CS) images. F...

Extracting the information with biological significance in amounts of gene expression data is an important research direction. Clustering algorithm in this area has been increasingly widely applied. According to the characteristic of gene expression data, the improved projection pursuit cluster model was introduced in this area and Quantum-behaved Particle Swarm Optimization(QPSO) was put forwa...

In this paper, a novel CMOQPSO algorithm is proposed, in which cultural evolution mechanism is introduced into quantum-behaved particle swarm optimization (QPSO) to solve multiobjective environmental/economic dispatch (EED) problems. There are growing concerns about the ability of QPSO to handle multiobjective optimization problems. Two important issues in extending QPSO to multiobjective conte...

Combinatorial testing (CT) can efficiently detect failures caused by interactions of parameters software under test. The CT study has undergone a transition from traditional to constrained CT, which is crucial for real-world systems testing. Under this scenario, covering array generation (CCAG), vital combinatorial optimisation issue targeted with constructing test suite minimal size while prop...

In data mining, association rule mining is a popular and well researched method for discovering interesting relations between variables in large databases, which are meaningful to the users and can generate strong rules on the basis of these frequent patterns, which are helpful in decision support system. Quantum Particle Swarm Optimization (QPSO) is one of the several methods for mining associ...

In this paper, a novel and generic multi-objective design paradigm is proposed which utilizes quantum-behaved PSO(QPSO) for deciding the optimal configuration of the LQR controller for a given problem considering a set of competing objectives. There are three main contributions introduced in this paper as follows. (1) The standard QPSO algorithm is reinforced with an informed initialization sch...

In order to solve the problem of monitor in mining and environment, the wireless sensor networks (WSN) is used. As one of the fundamental and important problems in WSN, coverage reflects the effect of monitoring and tracking. Because of the high density and complexity of distributing nodes in WSN, the coverage control algorithm for the optimal working sensor set is studied. On the other hand, e...