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» Solving iterated functions using genetic programming
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149
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IWMM
2010
Springer
118views Hardware» more  IWMM 2010»
15 years 8 months ago
Speculative parallelization using state separation and multiple value prediction
With the availability of chip multiprocessor (CMP) and simultaneous multithreading (SMT) machines, extracting thread level parallelism from a sequential program has become crucial...
Chen Tian, Min Feng, Rajiv Gupta
137
Voted
EVOW
2010
Springer
15 years 7 months ago
Parallel Genetic Algorithm on the CUDA Architecture
Abstract. This paper deals with the mapping of the parallel islandbased genetic algorithm with unidirectional ring migrations to nVidia CUDA software model. The proposed mapping is...
Petr Pospichal, Jirí Jaros, Josef Schwarz
117
Voted
GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
15 years 4 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
127
Voted
KES
1998
Springer
15 years 7 months ago
Properties of robust solution searching in multi-dimensional space with genetic algorithms
-A large number of studies on Genetic Algorithms (GAs) emphasize finding a globally optimal solution. Some other investigations have also been made for detecting multiple solutions...
Shigeyoshi Tsutsui, Lakhmi C. Jain
126
Voted
ICML
2003
IEEE
16 years 4 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum