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SERP
2003
15 years 5 months ago
Automatic Benchmarking and Optimization of Codes: An Experience with Numerical Kernels
Abstract New algorithms are constantly developed in search of better or faster results. Many variants of code are often tried while searching for the best solution. When the number...
José R. Herrero, Juan J. Navarro
AAAI
2004
15 years 5 months ago
Stochastic Local Search for POMDP Controllers
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
Darius Braziunas, Craig Boutilier
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 9 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
FGCS
2006
82views more  FGCS 2006»
15 years 4 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
GECCO
2003
Springer
15 years 9 months ago
Chromosome Reuse in Genetic Algorithms
This paper introduces a novel genetic algorithm strategy based on the reuse of chromosomes from previous generations in the creation of offspring individuals. A number of chromoso...
Adnan Acan, Yüce Tekol