GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
In this paper simulation studies of the ultrasound computerized tomography (CT) technique employing time of flight data is presented. An enhanced genetic algorithm based reconstru...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
This paper introduces GLOCSA as a new scoring function to rate multiple sequence alignments. It is intended to be simple, considering the whole alignment at once and reflecting t...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...