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» A study of dynamic severity in chaotic fitness landscapes
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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
An empirical investigation of how and why neutrality affects evolutionary search
The effects of neutrality on evolutionary search have been considered in a number of interesting studies, the results of which, however, have been contradictory. Some researchers ...
Edgar Galván López, Riccardo Poli
EVOW
2008
Springer
13 years 9 months ago
A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated ...
Gregory J. Barlow, Stephen F. Smith
TCS
2008
13 years 7 months ago
Comparing evolutionary algorithms to the (1+1)-EA
In this paper, we study the conditions in which the (1+1)-EA compares favorably to other evolutionary algorithms (EAs) in terms of fitness function distribution at given iteration...
Pavel A. Borisovsky, Anton V. Eremeev
CORR
2007
Springer
120views Education» more  CORR 2007»
13 years 7 months ago
Random subcubes as a toy model for constraint satisfaction problems
We present an exactly solvable random-subcube model inspired by the structure of hard constraint satisfaction and optimization problems. Our model reproduces the structure of the s...
Thierry Mora, Lenka Zdeborová
DMIN
2006
142views Data Mining» more  DMIN 2006»
13 years 9 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout