GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We present a new mechanism for preserving phenotypic behavioural diversity in a Genetic Programming application for hedge fund portfolio optimization, and provide experimental res...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In recent decades, many meta-heuristics, including genetic algorithm (GA), ant colony optimization (ACO) and various local search (LS) procedures have been developed for solving a...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Program bloat is a fundamental problem in the field of Genetic Programming (GP). Exponential growth of redundant and functionally useless sections of programs can quickly overcome...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper extends previous work showing how fluctuating crosstalk in a deterministic fitness function introduces noise into genetic algorithms. In that work, we modeled fluctuati...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...