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» On the Brittleness of Evolutionary Algorithms
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ECAL
2007
Springer
14 years 2 months ago
PLAZZMID: An Evolutionary Agent-Based Architecture Inspired by Bacteria and Bees
Abstract. Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses o...
Susan Stepney, Tim Clarke, Peter Young
GECCO
2006
Springer
216views Optimization» more  GECCO 2006»
14 years 7 days ago
Comparative analysis of the sailor assignment problem
In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
Joseph Vannucci, Deon Garrett, Dipankar Dasgupta
HIS
2004
13 years 10 months ago
A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohamm...
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
GECCO
1999
Springer
145views Optimization» more  GECCO 1999»
14 years 25 days ago
Three Ways to Grow Designs: A Comparison of Embryogenies for an Evolutionary Design Problem
This paper explores the use of growth processes, or embryogenies, to map genotypes to phenotypes within evolutionary systems. Following a summary of the significant features of em...
Peter J. Bentley, Sanjeev Kumar