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CLUSTER
2008
IEEE
15 years 9 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
CEC
2010
IEEE
15 years 23 days ago
A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems
Extremal optimisation (EO) is a relatively recent nature-inspired heuristic whose search method is especially suitable to solve combinatorial optimisation problems. To date, most o...
Pedro Gómez-Meneses, Marcus Randall, Andrew...
SAGA
2007
Springer
15 years 9 months ago
A VNS Algorithm for Noisy Problems and Its Application to Project Portfolio Analysis
Abstract. Motivated by an application in project portfolio analysis under uncertainty, we develop an algorithm S-VNS for solving stochastic combinatorial optimization (SCO) problem...
Walter J. Gutjahr, Stefan Katzensteiner, Peter Rei...
123
Voted
CEC
2008
IEEE
15 years 9 months ago
A self-adaptive cellular memetic algorithm for the DNA fragment assembly problem
Abstract— The DNA fragment assembly problem is to reconstruct a DNA chain from multiple fragments that have previously been sequenced in a laboratory. This is a critical step in ...
Bernabé Dorronsoro, Enrique Alba, Gabriel L...
GLOBECOM
2006
IEEE
15 years 9 months ago
Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks
Flooding and random walk (RW) are the two typical search algorithms in unstructured peer-to-peer networks. The flooding algorithm searches the network aggressively. It covers the m...
Po-Chiang Lin, Tsungnan Lin, Hsinping Wang