GECCO
2008
Springer
13 years 6 months ago
2008
Springer
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
In this paper we apply three Neuro-Evolution (NE) methods as controller design approaches in a collective behavior task. These NE methods are Enforced Sub-Populations, MultiAgent ...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Scenarios are pen-pictures of plausible futures, used for strategic planning. The aim of this investigation is to expand the horizon of scenario-based planning through computation...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Students are often asked to submit electronic copies of their program code as part of assessment in computer science courses. To counter code plagiarism, educational institutions ...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
We show that the natural evolutionary algorithm for the all-pairs shortest path problem is significantly faster with a crossover operator than without. This is the first theoret...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper investigates L-system evolution through experiments with a simulation platform of virtual plants. The conducted simulations vary the occurrence probability of terminal ...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multio...