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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 3 months ago
Hierarchically organised evolution strategies on the parabolic ridge
Organising evolution strategies hierarchically has been proposed as a means for adapting strategy parameters such as step lengths. Experimental research has shown that on ridge fu...
Dirk V. Arnold, Alexander MacLeod
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 3 months ago
Genetic programming for human oral bioavailability of drugs
Automatically assessing the value of bioavailability from the chemical structure of a molecule is a very important issue in biomedicine and pharmacology. In this paper, we present...
Francesco Archetti, Stefano Lanzeni, Enza Messina,...
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
14 years 3 months ago
Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programming
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
Jason Amunrud, Bryant A. Julstrom
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
14 years 3 months ago
Using genetic programming to classify node positive patients in bladder cancer
Nodal staging has been identified as an independent indicator of prognosis. Quantitative RT-PCR data was taken for 70 genes associated with bladder cancer and genetic programming ...
Arpit A. Almal, Anirban P. Mitra, Ram H. Datar, Pe...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
14 years 3 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
GECCO
2006
Springer
222views Optimization» more  GECCO 2006»
14 years 3 months ago
High-order punishment and the evolution of cooperation
The Prisoner's Dilemma and the Public Goods Game are models to study mechanisms leading to the evolution of cooperation. From a simplified rational and egoistic perspective t...
Bastian Baranski, Thomas Bartz-Beielstein, Rü...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 3 months ago
A comparative study of evolutionary optimization techniques in dynamic environments
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 3 months ago
Filter approximation using explicit time and frequency domain specifications
We demonstrate that enhanced particle swarm optimization (PSO) can be successfully used to evolve high performance filter approximations. These evolved approximations use sets of ...
Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly