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GECCO
2004
Springer
14 years 4 months ago
Inducing Sequentiality Using Grammatical Genetic Codes
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...
Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David ...
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
14 years 4 months ago
Grammatical Swarm
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...
Michael O'Neill, Anthony Brabazon
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
14 years 4 months ago
A Multi-objective Approach to Configuring Embedded System Architectures
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...
James Northern III, Michael A. Shanblatt
GECCO
2004
Springer
14 years 4 months ago
Crossover, Population Dynamics, and Convergence in the GAuGE System
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...
Miguel Nicolau, Conor Ryan
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
14 years 4 months ago
Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem
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...
Frank Neumann, Ingo Wegener
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
14 years 4 months ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
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...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 4 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
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...
Olfa Nasraoui, Elizabeth Leon
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
14 years 4 months ago
Adaptive and Evolvable Network Services
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 ...
Tadashi Nakano, Tatsuya Suda
GECCO
2004
Springer
14 years 4 months ago
The Lens Design Using the CMA-ES Algorithm
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....
Yuichi Nagata
GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
14 years 4 months ago
Cooperative Coevolution Fusion for Moving Object Detection
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...
Sohail Nadimi, Bir Bhanu