894 search results - page 79 / 179 » Parameter-less evolutionary search |
GECCO
2007
Springer
2007
Springer
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
15 years 7 months ago
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
123
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
ISICA
2007
Springer
15 years 7 months ago
2007
Springer
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
109
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
103
click to vote
GECCO
2005
Springer
15 years 7 months ago
2005
Springer
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...