A fast quantum mechanical algorithm for database search
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
A particle swarm optimization approach to nonlinear rational filter modeling
Expert Systems with Applications: An International Journal
Multi-objective inventory planning using MOPSO and TOPSIS
Expert Systems with Applications: An International Journal
Algorithms for quantum computation: discrete logarithms and factoring
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Evolutionary programming techniques for economic load dispatch
IEEE Transactions on Evolutionary Computation
Engineering Applications of Artificial Intelligence
Bio-inspired optimisation for economic load dispatch: a review
International Journal of Bio-Inspired Computation
| Hi-index | 12.05 |
Quantum-behaved particle swarm optimization algorithm is firstly used in economic load dispatch of power system in this paper. Quantum-behaved particle swarm optimization algorithm is the integration of particle swarm optimization algorithm and quantum computing theory. The superposition characteristic and probability representation of quantum methodology are combined into particle swarm optimization algorithm. This can make a single particle be expressed by several certain probability states. And the quantum rotation gates are used to realize update operation of particles. The algorithm is simulated by two cases, which validates it can effectively solve economic load dispatch problem. Though performance comparison, it is obvious the solution is superior to that of improved particle swarm optimization algorithm and other optimization algorithms.