Sciweavers

GECCO
2005
Springer
13 years 10 months ago
Theme preservation and the evolution of representation
The identification of mechanisms by which constraints on phenotypic variability are tuned in nature, and the implementation of these mechanisms in Evolutionary Algorithms (EAs) ca...
Keki M. Burjorjee, Jordan B. Pollack
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
13 years 10 months ago
Providing information from the environment for growing electronic circuits through polymorphic gates
This paper deals with the evolutionary design of programs (constructors) that are able to create (n+2)-input circuits from n-input circuits. The growing circuits are composed of p...
Michal Bidlo, Lukás Sekanina
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
13 years 10 months ago
Map-labelling with a multi-objective evolutionary algorithm
We present a multi-objective evolutionary algorithm approach to the map-labelling problem. Map-labelling involves placing labels for sites onto a map such that the result is easy ...
Lucas Bradstreet, Luigi Barone, R. Lyndon While
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
13 years 10 months ago
Solving geometric TSP with ants
This paper presents an ant-based approach for solving the Traveling Salesman Problem (TSP). Novel concepts of this algorithm that distinguish it from the other heuristics are the ...
Thang Nguyen Bui, Mufit Colpan
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 10 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
GECCO
2005
Springer
13 years 10 months ago
Function choice, resiliency and growth in genetic programming
In this paper we examine how the choice of functions in a genetic program (GP) affects the rate of code growth and the development of resilient individuals. We find that functio...
Sireesha Besetti, Terence Soule
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
13 years 10 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
135views Optimization» more  GECCO 2005»
13 years 10 months ago
Dynamic optimization of migration topology in internet-based distributed genetic algorithms
Distributed Genetic Algorithms (DGAs) designed for the Internet have to take its high communication cost into consideration. For island model GAs, the migration topology has a maj...
Johan Berntsson, Maolin Tang