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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 9 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
BMCBI
2010
139views more  BMCBI 2010»
13 years 5 months ago
CMASA: an accurate algorithm for detecting local protein structural similarity and its application to enzyme catalytic site anno
Background: The rapid development of structural genomics has resulted in many "unknown function" proteins being deposited in Protein Data Bank (PDB), thus, the functiona...
Gong-Hua Li, Jing-Fei Huang
CEC
2005
IEEE
13 years 11 months ago
Adaptive local search parameters for real-coded memetic algorithms
AbstractThis paper presents a real-coded memetic algorithm that combines a high diversity global exploration with an adaptive local search method to the most promising individuals ...
Daniel Molina, Francisco Herrera, Manuel Lozano
ICCAD
2009
IEEE
119views Hardware» more  ICCAD 2009»
13 years 3 months ago
Iterative layering: Optimizing arithmetic circuits by structuring the information flow
Current logic synthesis techniques are ineffective for arithmetic circuits. They perform poorly for XOR-dominated circuits, and those with a high fan-in dependency between inputs ...
Ajay K. Verma, Philip Brisk, Paolo Ienne
ICIP
2005
IEEE
14 years 7 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang