GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This paper studies the inducement of sequentiality in genetic algorithms (GAs) for uniformly-scaled problems. Sequentiality is a phenomenon in which sub-solutions converg...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This proof of concept study examines the possibility of specifying the construction of programs using a Particle Swarm algorithm, and represents a new form of automatic p...
9
Voted
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Portable embedded systems are being driven by consumer demands to be thermally efficient, perform faster, and have longer battery life. To design such a system, various hardware un...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a study of the effectiveness of a recently presented crossover operator for the GAuGE system. This crossover, unlike the traditional crossover employed previou...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Randomized search heuristics, among them randomized local search and evolutionary algorithms, are applied to problems whose structure is not well understood, as well as to problems...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
In this paper we introduce a novel sensor fusion algorithm based on the cooperative coevolutionary paradigm. We develop a multisensor robust moving object detection system that can...