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» Solving iterated functions using genetic programming
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194
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AAIP
2009
15 years 4 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson
ICST
2009
IEEE
15 years 10 months ago
PKorat: Parallel Generation of Structurally Complex Test Inputs
Constraint solving lies at the heart of several specification-based approaches to automated testing. Korat is a previously developed algorithm for solving constraints in Java pro...
Junaid Haroon Siddiqui, Sarfraz Khurshid
127
Voted
ICTAI
1999
IEEE
15 years 8 months ago
Search Strategies for Hybrid Search Spaces
Recently, there has been much interest in enhancing purely combinatorial formalisms with numerical information. For example, planning formalisms can be enriched by taking resource...
Carla P. Gomes, Bart Selman
113
Voted
CORR
2010
Springer
122views Education» more  CORR 2010»
15 years 3 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
125
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PPL
2007
86views more  PPL 2007»
15 years 3 months ago
Failure-Sensitive Analysis of Parallel Algorithms with Controlled Memory Access Concurrency
ract problem of using P failure-prone processors to cooperatively update all locations of an N-element shared array is called Write-All. Solutions to Write-All can be used iterati...
Chryssis Georgiou, Alexander Russell, Alexander A....