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IJHIS
2006
94views more  IJHIS 2006»
15 years 4 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
RECOMB
2005
Springer
16 years 4 months ago
Stability of Rearrangement Measures in the Comparison of Genome Sequences
We present data-analytic and statistical tools for studying rates of rearrangement of whole genomes and to assess the stability of these methods with changes in the level of resol...
David Sankoff, Matthew Mazowita
CEC
2007
IEEE
15 years 10 months ago
Plateaus can be harder in multi-objective optimization
—In recent years a lot of progress has been made in understanding the behavior of evolutionary computation methods for single- and multi-objective problems. Our aim is to analyze...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann
CEC
2007
IEEE
15 years 10 months ago
Static experts and dynamic enemies in coevolutionary games
Abstract— The usage of memory in coevolutionary systems offers a wide range of research possibilities, especially when evolving computationally intelligent computer players for g...
Phillipa M. Avery, Zbigniew Michalewicz
CIG
2005
IEEE
15 years 10 months ago
Combining Coaching and Learning to Create Cooperative Character Behavior
Abstract- We present a concept for developing cooperative characters (agents) for computer games that combines coaching by a human with evolutionary learning. The basic idea is to ...
Jörg Denzinger, Chris Winder