Douglas Mota Dias,  Marco Aure lio C. Pacheco. 

Quantum-inspired evolutionary algorithms (QIEAs) exploit princi- ples of quantum mechanics to improve the performance of classical evolutio- nary algorithms. This paper presents a new model of QIEA ("Quantum-Inspired Linear Genetic Programming" - QILGP) to evolve machine code programs. Symbolic regression problems and the current more efficient model to evolve machine code (AIMGP) are used in comparative tests. QILGP outperforms it, obtaining better solutions with fewer evaluations, parameters and operators. One conclude that the quantum inspiration can be a competitive approach to evolve programs more efficiently

http://www.lbd.dcc.ufmg.br/colecoes/enia/2011/0037.pdf

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