Sciweavers

GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
13 years 11 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
13 years 11 months ago
Takeover times on scale-free topologies
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 11 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
13 years 11 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
GECCO
2007
Springer
427views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolutionary music composer integrating formal grammar
—In this paper, an autonomous music composition tool is developed using Genetic Algorithms. The production is enhanced by integrating formal grammar rules. A formal grammar is a ...
Yaser M. A. Khalifa, Badar K. Khan, Jasmin Begovic...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning classifier systems
Martin V. Butz
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
13 years 11 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley