@inproceedings{906312697f81428388852c8e53f42694,
title = "Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics",
abstract = "In this study, we introduce two improved assessment metrics of multiobjective optimizers, Nondominated Ratio and Spacing Distribution, and analyze their rationality and validity. Based on the concept of Immunodominance and Antibody Clonal Selection Theory, a novel multiobjective optimization algorithm, Immune Dominance Clonal Multiobjective Algorithm (IDCMA), is put forward. The simulation comparisons between IDCMA and the Strength Pareto Evolutionary Algorithm show that IDCMA has the best performance in popular metrics such as Spacing, Coverage of Two Sets and the two new metrics presented in this paper when low-dimensional multiobjective problems are concerned. The statistical results of the four metrics also show that Spacing Distribution conquers some limitations of Spacing triumphantly, and Nondominated Ratio conquers the limitation of Coverage of Two Sets that only compared between two sets.",
keywords = "Artificial immune system, Clonal selection, Immune dominance, Multiobjective optimization, Performance assessment",
author = "Maoguo Gong and Ronghua Shang and Licheng Jiao and Haifeng Du and Bin Lu",
year = "2005",
doi = "10.1145/1068009.1068069",
language = "英语",
isbn = "1595930108",
series = "GECCO 2005 - Genetic and Evolutionary Computation Conference",
pages = "373--374",
editor = "H.G. Beyer and U.M. O'Reilly and D. Arnold and W. Banzhaf and C. Blum and E.W. Bonabeau and E. Cantu-Paz and D. Dasgupta and K. Deb and \{et al\}, al",
booktitle = "GECCO 2005 - Genetic and Evolutionary Computation Conference",
note = "GECCO 2005 - Genetic and Evolutionary Computation Conference ; Conference date: 25-06-2005 Through 29-06-2005",
}