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» Evolving Quantum Circuits Using Genetic Algorithm
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IWANN
1995
Springer
15 years 3 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
ICCCI
2011
Springer
13 years 11 months ago
Evolving Equilibrium Policies for a Multiagent Reinforcement Learning Problem with State Attractors
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
Florin Leon
STOC
1997
ACM
122views Algorithms» more  STOC 1997»
15 years 3 months ago
Fault-Tolerant Quantum Computation With Constant Error
Shor has showed how to perform fault tolerant quantum computation when the probability for an error in a qubit or a gate, η, decays with the size of the computation polylogarithmi...
Dorit Aharonov, Michael Ben-Or
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 3 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
15 years 3 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...