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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 4 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
83
Voted
SAC
1998
ACM
15 years 2 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
SAC
2006
ACM
15 years 4 months ago
Adaptive mutation with fitness and allele distribution correlation for genetic algorithms
In this paper, a new gene based adaptive mutation scheme is proposed for genetic algorithms (GAs), where the information on gene based fitness statistics and on gene based allele...
Shengxiang Yang, Sima Uyar
186
Voted
AACC
2004
Springer
15 years 3 months ago
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms
Searching on the Internet has grown in importance over the last few years, as huge amount of information is invariably accumulated on the Web. The problem involves locating the des...
P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Th...
GECCO
2004
Springer
15 years 3 months ago
Selection-Insertion Schemes in Genetic Algorithms for the Flexible Ligand Docking Problem
Abstract. In this work we have implemented and analyzed the performance of a new real coded steady-state genetic algorithm (SSGA) for the flexible ligand-receptor docking problem....
Camila S. de Magalhães, Helio J. C. Barbosa...