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Raidl, G.R. and Gottlieb, J. (2005) Empirical Analysis of Locality, Heritability and Heuristic bias in Evolutionary Algorithms: A Case Study for the Multidimensional Knapsack Problem. Evolutionary Computation, 13, 441-475.
http://dx.doi.org/10.1162/106365605774666886

has been cited by the following article:

• TITLE: A Weight-Coded Evolutionary Algorithm for the Multidimensional Knapsack Problem

  AUTHORS: Quan Yuan, Zhixin Yang

  KEYWORDS: Weight-Coding, Evolutionary Algorithm, Multidimensional Knapsack Problem (MKP)

  JOURNAL NAME: Advances in Pure Mathematics, Vol.6 No.10, September 19, 2016

  ABSTRACT: A revised weight-coded evolutionary algorithm (RWCEA) is proposed for solving multidimensional knapsack problems. This RWCEA uses a new decoding method and incorporates a heuristic method in initialization. Computational results show that the RWCEA performs better than a weight-coded evolutionary algorithm pro-posed by Raidl (1999) and to some existing benchmarks, it can yield better results than the ones reported in the OR-library.