@inproceedings{aaead0ff3dac4e138667ea091b323f78,
title = "Evolutionary diffusion optimization, Part II: Performance assessment",
abstract = "A new population-based stochastic search algorithm called evolutionary diffusion optimization (EDO) inspired by diffusion in nature has been proposed. This article compares the performance of EDO with simulated annealing and fast evolutionary programming. Experimental results show that EDO performs better than SA and FEP in some cases.",
author = "Tsui, {Kwok Ching} and Jiming Liu",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 2002 Congress on Evolutionary Computation, CEC 2002 ; Conference date: 12-05-2002 Through 17-05-2002",
year = "2002",
doi = "10.1109/CEC.2002.1004428",
language = "English",
isbn = "0780372824",
series = "Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002",
publisher = "IEEE Computer Society",
pages = "1284--1289",
booktitle = "Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002",
address = "United States",
}