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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
CCGRID
2008
IEEE
16 years 1 months ago
A Proactive Non-Cooperative Game-Theoretic Framework for Data Replication in Data Grids
— Data grids and its cost effective nature has taken on a new level of interest in recent years; amalgamation of different providers results in increased capacity as well as lowe...
Ali Elghirani, Riky Subrata, Albert Y. Zomaya
CEC
2009
IEEE
16 years 1 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
UPP
2004
Springer
16 years 15 hour ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
ASPDAC
1999
ACM
77views Hardware» more  ASPDAC 1999»
15 years 11 months ago
Timing-Driven Bipartitioning with Replication Using Iterative Quadratic Programming
We present an algorithm for solving a general min-cut, twoway partitioning problem subject to timing constraints. The problem is formulated as a constrained programming problem an...
Shihliang Ou, Massoud Pedram