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GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 1 months ago
Niching in evolution strategies
Evolutionary Algorithms (EAs), popular search methods for solving search and optimization problems, are known for successful and fast location of single optimal solutions. However,...
Ofer M. Shir, Thomas Bäck
ICCBR
2003
Springer
14 years 1 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
PPSN
2000
Springer
13 years 12 months ago
Interacting Trajectories in Design Space and Niche Space: A Philosopher Speculates About Evolution
Abstract. There are evolutionary trajectories in two different but related spaces, design space and niche space. Coevolution occurs in parallel trajectories in both spaces, with co...
Aaron Sloman
ICMAS
1998
13 years 9 months ago
A New Approach to Class Formation in Multi-Agent Simulations of Language Evolution
Multi-agent models of language evolution usually involve agents giving names to internal independently constructed categories. We present an approach in which the creation of cate...
Frédéric Kaplan
TEC
2008
98views more  TEC 2008»
13 years 8 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...