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» A comparison of empirical and model-driven optimization
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AI
1998
Springer
14 years 9 months ago
GAS, A Concept on Modeling Species in Genetic Algorithms
This paper introduces a niching technique called GAS (S stands for species) which dynamically creates a subpopulation structure (taxonomic chart) using a radius function instead of...
Márk Jelasity, József Dombi
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 3 months ago
Estimation of fitness landscape contours in EAs
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
Petr Posík, Vojtech Franc
TSMC
2002
102views more  TSMC 2002»
14 years 9 months ago
Generalized pursuit learning schemes: new families of continuous and discretized learning automata
The fastest learning automata (LA) algorithms currently available fall in the family of estimator algorithms introduced by Thathachar and Sastry [24]. The pioneering work of these ...
M. Agache, B. John Oommen
65
Voted
CP
2010
Springer
14 years 8 months ago
Checking-Up on Branch-and-Check
Abstract. Branch-and-Check, introduced ten years ago, is a generalization of logic-based Benders decomposition. The key extension is to solve the Benders sub-problems at each feasi...
J. Christopher Beck
EUROSYS
2007
ACM
15 years 6 months ago
STMBench7: a benchmark for software transactional memory
Software transactional memory (STM) is a promising technique for controlling concurrency in modern multi-processor architectures. STM aims to be more scalable than explicit coarse...
Rachid Guerraoui, Michal Kapalka, Jan Vitek