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GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 9 months ago
Comparing global and local mutations on bit strings
Benjamin Doerr, Thomas Jansen, Christian Klein
GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
13 years 9 months ago
A coevolution archive based on problem dimension
Liping Yang, Houkuan Huang, Yabin Liu
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 9 months ago
Aiming for a theoretically tractable CSA variant by means of empirical investigations
Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
Jens Jägersküpper, Mike Preuss
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 9 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
13 years 9 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 9 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 9 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 9 months ago
Co-optimization algorithms
While coevolution has many parallels to natural evolution, methods other than those based on evolutionary principles may be used in the interactive fitness setting. In this paper...
Travis C. Service, Daniel R. Tauritz
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolutionary algorithms for automated drug design towards target molecule properties
Johannes W. Kruisselbrink, Thomas Bäck, Adria...
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 9 months ago
Agent-based support for interactive search in conceptual software engineering design
While recent attempts to search a conceptual software engineering design search space with multi-objective evolutionary algorithms have yielded promising results, the practical ap...
Christopher L. Simons, Ian C. Parmee