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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 7 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
GECCO
2000
Springer
153views Optimization» more  GECCO 2000»
15 years 7 months ago
Applying Genetic Algorithms to Multi-Objective Land Use Planning
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
VISUAL
2000
Springer
15 years 7 months ago
Statistical Motion-Based Retrieval with Partial Query
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
Ronan Fablet, Patrick Bouthemy
DEXA
1995
Springer
96views Database» more  DEXA 1995»
15 years 7 months ago
Knowledge Organization for Exploration
To support applications, such as efficient browsing in large knowledge bases and cooperative knowledge discovery in large databases, the concept of rule similarity is essential. In...
Amihai Motro, Sylvie Goullioud
SPAA
1995
ACM
15 years 7 months ago
Provably Efficient Scheduling for Languages with Fine-Grained Parallelism
Many high-level parallel programming languages allow for fine-grained parallelism. As in the popular work-time framework for parallel algorithm design, programs written in such lan...
Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias