@inproceedings{714756146eed463b84352c12b0fcfbc0,
title = "Iterated local search with guided mutation",
abstract = "Guided mutation uses the idea of estimation of distribution algorithms to improve conventional mutation operators. It combines global statistical information and the location information of good individual solutions for generating new trial solutions. This paper suggests using guided mutation in iterative local search. An experimental comparison between a conventional iterated local search (CILS) and an iterated local search with guided mutation has been conducted on four classes of the test instances of the quadratic assignment problem.",
author = "Qingfu Zhang and Jianyong Sun",
year = "2006",
language = "英语",
isbn = "0780394879",
series = "2006 IEEE Congress on Evolutionary Computation, CEC 2006",
pages = "924--929",
booktitle = "2006 IEEE Congress on Evolutionary Computation, CEC 2006",
note = "2006 IEEE Congress on Evolutionary Computation, CEC 2006 ; Conference date: 16-07-2006 Through 21-07-2006",
}