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GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
15 years 10 months ago
An artificial immune system with partially specified antibodies
Artificial Immune System algorithms use antibodies which fully specify the solution of an optimization, learning, or pattern recognition problem. By being restricted to fully spec...
Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jal...
129
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GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 8 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
ACMSE
2008
ACM
15 years 6 months ago
Mining frequent sequential patterns with first-occurrence forests
In this paper, a new pattern-growth algorithm is presented to mine frequent sequential patterns using First-Occurrence Forests (FOF). This algorithm uses a simple list of pointers...
Erich Allen Peterson, Peiyi Tang
COMGEO
2004
ACM
15 years 4 months ago
Speeding up the incremental construction of the union of geometric objects in practice
We present a new incremental algorithm for constructing the union of n triangles in the plane. In our experiments, the new algorithm, which we call the Disjoint-Cover (DC) algorit...
Eti Ezra, Dan Halperin, Micha Sharir
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 10 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...