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AAAI
2000
15 years 2 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang
IPPS
2009
IEEE
15 years 8 months ago
Evaluating the use of GPUs in liver image segmentation and HMMER database searches
In this paper we present the results of parallelizing two life sciences applications, Markov random fieldsbased (MRF) liver segmentation and HMMER’s Viterbi algorithm, using GP...
John Paul Walters, Vidyananth Balu, Suryaprakash K...
SEMWEB
2010
Springer
14 years 11 months ago
Preference-Based Web Service Composition: A Middle Ground between Execution and Search
Abstract. Much of the research on automated Web Service Composition (WSC) relates it to an AI planning task, where the composition is primarily done offline prior to execution. Rec...
Shirin Sohrabi, Sheila A. McIlraith
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 6 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 5 months ago
A hybrid genetic search for multiple sequence alignment
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon