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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving computer intrusion scripts for vulnerability assessment and log analysis
Evolutionary computation is used to construct undetectable computer attack scripts. Using a simulated operating system, we show that scripts can be evolved to cover their tracks a...
Julien Budynek, Eric Bonabeau, Ben Shargel
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
15 years 3 months ago
The evolutionary computation approach to motif discovery in biological sequences
Finding motifs — patterns of conserved residues — within nucleotide and protein sequences is a key part of understanding function and regulation within biological systems. Thi...
Michael A. Lones, Andrew M. Tyrrell
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
15 years 3 months ago
Topological crossover for the permutation representation
Abstract. Topological crossovers are a class of representation-independent operators that are well-defined once a notion of distance over the solution space is defined. In this pap...
Alberto Moraglio, Riccardo Poli
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 3 months ago
Fractional dynamic fitness functions for GA-based circuit design
This paper proposes and analyses the performance of a Genetic Algorithm (GA) using two new concepts, namely a static fitness function including a discontinuity measure and a fract...
Cecília Reis, José António Te...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell