Sciweavers

3165 search results - page 237 / 633
» Introduction to genetic algorithms
Sort
View
IEEECIT
2009
IEEE
16 years 12 days ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
ISNN
2007
Springer
15 years 12 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong
SBCCI
2003
ACM
213views VLSI» more  SBCCI 2003»
15 years 11 months ago
Algorithms and Tools for Network on Chip Based System Design
Network on Chip (NoC) is a new paradigm for designing core based System on Chips. It supports high degree of reusability and is scalable. In this paper, an efficient Two-Step Gene...
Tang Lei, Shashi Kumar
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 9 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
IPPS
1999
IEEE
15 years 10 months ago
Distributed Scheduling with Decomposed Optimization Criterion: Genetic Programming Approach
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...