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  Modeling building-block interdependency (1998) [26 citations — 8 self]

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by Richard A. Watson, Gregory S. Hornby, Jordan B. Pollack
In Parallel Problem Solving from Nature - PPSN V
http://www.demo.cs.brandeis.edu/papers/hiff_ppsn.ps.gz
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Abstract:

Abstract. The Building-Block Hypothesis appeals to the notion of problem decomposition and the assembly of solutions from sub-solutions. Accordingly, there have been many varieties of GA test problems with a structure based on buildingblocks. Many of these problems use deceptive fitness functions to model interdependency between the bits within a block. However, very few have any model of interdependency between building-blocks; those that do are not consistent in the type of interaction used intra-block and inter-block. This paper discusses the inadequacies of the various test problems in the literature and clarifies the concept of building-block interdependency. We formulate a principled model of hierarchical interdependency that can be applied through many levels in a consistent manner and introduce Hierarchical If-and-only-if (H-IFF) as a canonical example. We present some empirical results of GAs on H-IFF showing that if population diversity is maintained and linkage is tight then the GA is able to identify and manipulate building-blocks over many levels of assembly, as the Building-Block Hypothesis suggests. 1

Citations

1316 Genetic Algorithms + Data Structures = Evolution Programs – Michalewicz - 1994
764 The Sciences of the Artificial – Simon - 1998
289 Origins of Order – Kauffman - 1993
244 Messy Genetic Algorithms: Motivation, Analysis and First Results – Goldberg, Korb, et al. - 1989
233 An Investigation of Niche and Species Formation in Genetic Function Optimization – Deb, Goldberg - 1989
146 The royal road for genetic algorithms: Fitness landscapes and GA performance – Mitchell, Forrest, et al. - 1992
128 Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms – Jones, Forrest - 1995
127 Evolutionary Algorithms, Fitness Landscapes and Search – Jones - 1995
126 When will a genetic algorithm outperform hill climbing – Mitchell, Holland, et al. - 1994
97 Relative building-block fitness and the building-block hypothesis. 2 – Forrest, Mitchell - 1993
87 The Schema Theorem and Price’s Theorem – Altenberg - 1994
82 What makes a problem hard for a genetic algorithm? Some anomalous results and their explanation – Forrest, Mitchell - 1993
77 Rapid, Accurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms – Goldberg, Deb, et al. - 1993
77 Searching for diverse, cooperative populations with genetic algorithms – Smith, Forrest, et al. - 1993
45 D.E.: Sufficient conditions for deceptive and easy binary functions – Deb, Goldberg - 1994
32 Genetic Algorithms – Goldberg - 1989
28 Adaptation in Natural and Artificial Systems", Ann Arbor – Holland - 1975
16 Test driving three 1995 genetic algorithms: new test functions and geometric matching – Graves, Whitley, et al. - 1995
7 Royal Road functions, Internet Genetic Algorithm Digest – Holland - 1993
4 Royal Road Functions", Internet Genetic Algorithms Digest v7n22 – Holland - 1993
4 The Schema Theorem and Price’s – Altenberg - 1995
1 Genetic Algorithm Difficulty and the Modality of Fitness Landscapes – Goldberg - 1994
1 Test Driving Three – Whitley, Beveridge, et al. - 1995