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EC
2000
96views ECommerce» more  EC 2000»
13 years 7 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
MICRO
2002
IEEE
121views Hardware» more  MICRO 2002»
13 years 7 months ago
Convergent scheduling
Convergent scheduling is a general framework for instruction scheduling and cluster assignment for parallel, clustered architectures. A convergent scheduler is composed of many ind...
Walter Lee, Diego Puppin, Shane Swenson, Saman P. ...
NAR
1998
94views more  NAR 1998»
13 years 7 months ago
SGD: Saccharomyces Genome Database
The Saccharomyces Genome Database (SGD) provides Internet access to the complete Saccharomyces cerevisiae genomic sequence, its genes and their products, the phenotypes of its mut...
J. Michael Cherry, Caroline Adler, Catherine A. Ba...
TEC
2002
101views more  TEC 2002»
13 years 7 months ago
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...
Kuk-Hyun Han, Jong-Hwan Kim
RAS
2007
150views more  RAS 2007»
13 years 7 months ago
Evolution of fuzzy behaviors for multi-robotic system
In a multi-robotic system, robots interact with each other in a dynamically changing environment. The robots need to be intelligent both at the individual and group levels. In thi...
Prahlad Vadakkepat, Xiao Peng, Boon Kiat Quek, Ton...