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GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
16 years 8 days ago
Adaptive sizing of populations and number of islands in distributed genetic algorithms
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
Johan Berntsson, Maolin Tang
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
16 years 8 days ago
A multi-objective algorithm for DS-CDMA code design based on the clonal selection principle
This paper proposes a new algorithm based on the clonal selection principle for the design of spreading codes for DS-CDMA. The algorithm follows a multi-objective approach, genera...
Daniel Stevens, Sanjoy Das, Balasubramaniam Natara...
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
16 years 8 days ago
Behavior of finite population variable length genetic algorithms under random selection
In this work we provide empirical evidence that shows how a variable-length genetic algorithm (GA) can naturally evolve shorter average size populations. This reduction in chromos...
Hal Stringer, Annie S. Wu
STACS
2007
Springer
16 years 26 days ago
Associative-Commutative Deducibility Constraints
We consider deducibility constraints, which are equivalent to particular Diophantine systems, arising in the automatic verification of security protocols, in presence of associati...
Sergiu Bursuc, Hubert Comon-Lundh, Stéphani...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 28 days ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles