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» Evolving Quantum Circuits Using Genetic Algorithm
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ALIFE
2000
15 years 2 months ago
Talking Helps: Evolving Communicating Agents for the Predator-Prey Pursuit Problem
We analyze a general model of multi-agent communication in which all agents communicate simultaneously to a message board. A genetic algorithm is used to evolve multi-agent languag...
Kam-Chuen Jim, C. Lee Giles
CEC
2005
IEEE
15 years 8 months ago
Dynamic power minimization during combinational circuit testing as a traveling salesman problem
Testing of VLSI circuits can cause generation of excessive heat which can damage the chips under test. In the random testing environment, high-performance CMOS circuits consume sig...
Artem Sokolov, Alodeep Sanyal, L. Darrell Whitley,...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
EVOW
2009
Springer
15 years 7 months ago
The Evolution of Evolutionary Software: Intelligent Rhythm Generation in Kinetic Engine
This paper presents an evolutionary music software system that generates complex rhythmic polyphony in performance. A population of rhythms is derived from analysis of source mater...
Arne Eigenfeldt
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener