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GECCO
2007
Springer
269views Optimization» more  GECCO 2007»
16 years 1 months ago
Automated red teaming: a proposed framework for military application
In this paper, we describe Automated Red Teaming (ART), a concept that uses Evolutionary Algorithm (EA), Parallel Computing and Simulation to complement the manual Red Teaming eff...
Chwee Seng Choo, Ching Lian Chua, Su-Han Victor Ta...
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
16 years 1 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 1 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 1 months ago
A leader-based parallel cross entropy algorithm for MCP
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
Zhanhua Bai, Qiang Lv