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Network reconfiguration is an important tool to optimize the operating conditions of an electrical distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of sectionalizing switches. This not only reduces the power losses, but also relieves the overloading of the network components. Network reconfiguration belongs to a complex...
The course timetabling problem (CTP), as a typical combinatorial optimization problem (COP), has been proved to be NP-Complete. Due to its complexity, the general genetic algorithm converges slowly and easily converges to local optima. A novel quantum-inspired evolutionary algorithms (QEA) is put forward for the CTP. The QEA uses genetic operators of Q-bit as well as updating operator of quantum gate...
A novel algorithm, called quantum-inspired immune evolutionary algorithm (QIEA), is proposed to avoid premature convergence. Based on the combining of the quantum evolutionary algorithm with the main mechanisms of immune, QIEA can adopt the high-effective parallelism of QEA and using a lot of operators such as mutation and selection to improve the traditional quantum evolutionary algorithm (QEA),...
A novel real-coded immune quantum evolutionary algorithm for multi-modal function optimization (MRIQEA) is proposed. By niching methods population is divided into subpopulations automatically, local search is carried by the immune mechanism, each subpopulation can obtain precise solutions, and then the population can maintain all optimal solutions. Because of the quantum evolutionary algorithm with...
A novel evolutionary algorithm called probability evolutionary algorithm (PEA) is proposed, which is inspired by the quantum computation and quantum-inspired evolutionary algorithm (QEA). The individual in PEA is encoded by a probabilistic superposed bit which can represent a linear superposition of the states 0 to k (k ges 1). The observing step is used in PEA to obtain the observed individual, and...
In this paper, a novel evolutionary algorithm called new quantum evolutionary algorithm (NQEA) is proposed to solve a class of multi-objective optimization problems. The main point of NQEA is that a new quantum logic rotation gate is introduced. NQEA characterizes rapid convergence, good global search capability and short computing time. Then, the convergence of NQEA is also analyzed using random...
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