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GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
16 years 1 days ago
Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
Chien-Feng Huang
178
Voted
GECCO
2003
Springer
16 years 1 days ago
Reinforcement Learning Estimation of Distribution Algorithm
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
Topon Kumar Paul, Hitoshi Iba
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
16 years 1 days ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster
DATE
2002
IEEE
102views Hardware» more  DATE 2002»
15 years 11 months ago
Improving Placement under the Constant Delay Model
In this paper, we show that under the constant delay model the placement problem is equivalent to minimizing a weighted sum of wire lengths. The weights can be efficiently compute...
Kolja Sulimma, Wolfgang Kunz, Ingmar Neumann, Luka...
GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...