Sciweavers

113
Voted
GECCO
2006
Springer
172views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolving boolean networks to find intervention points in dengue pathogenesis
We use probabilistic boolean networks to simulate the pathogenesis of Dengue Hemorraghic Fever (DHF). Based on Chaturvedi's work, the strength of cytokine influences are mode...
Philip Tan, Joc Cing Tay
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 7 months ago
When lisp is faster than C
This paper compares the performance of the program evaluation phase of genetic programming using C and Common Lisp. A simple experiment is conducted, and the conclusion is that ge...
Børge Svingen
107
Voted
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 7 months ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
Andrew M. Sutton, Darrell Whitley, Monte Lunacek, ...
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
15 years 7 months ago
On the analysis of the (1+1) memetic algorithm
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
Dirk Sudholt
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 7 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...