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TEC
2002
101views more  TEC 2002»
13 years 11 months ago
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...
Kuk-Hyun Han, Jong-Hwan Kim
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
14 years 19 days ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
GECCO
2003
Springer
14 years 4 months ago
On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence
In this paper, some guidelines for setting the parameters of quantum-inspired evolutionary algorithm (QEA) are presented. Although the performance of QEA is excellent, there is rel...
Kuk-Hyun Han, Jong-Hwan Kim
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 5 months ago
Option pricing model calibration using a real-valued quantum-inspired evolutionary algorithm
Quantum effects are a natural phenomenon and just like evolution, or immune processes, can serve as an inspiration for the design of computing algorithms. This study illustrates ...
Kai Fan, Anthony Brabazon, Conall O'Sullivan, Mich...