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 …

Whether wireless sensor network covers the target field availably is measured by the
network cover rate and the node redundancy rate. To solve this multi-objective optimization …

Quantum behaved particle swarm optimization (QPSO) is a recently proposed metaheuristic,
which describes bird flocking trajectories by a quantum behavior. It uses only one tunable …

Protection models provide a formalism for specifying control over access to information and
other resources in a multi-user computer system. One such model, the Extended Schematic …

为提高多目标数值优化问题解的收敛速度并保持解的多样性, 基于多目标优化和量子计算原理,
提出了一种量子演化算法. 首先, 根据多目标优化特点, 使用多目标密度比较算子对量子种群进行 …

The energy-efficiency coverage of wireless sensor network is measure by the network cover
rate and the node redundancy rate. To solve this multi-objective optimization problem, a …

Solving multi-objective optimization problem using evolutionary algorithm has attracted
much attentions and the great progresses have been made in the past decades. The whole …

In this paper, a general framework of quantum-inspired multiobjective evolutionary
algorithms is proposed based on the basic principles of quantum computing and general …

It had been proved that the knowledge may promote more efficient evolution. Considering
the knowledge defined in different form, we present multi-objective quantum-inspired …

Most high level interpretation tasks in image analysis rely on image registration (alignment)
process. Basically, image registration consists in finding the geometric transformation that …