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GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 4 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 4 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 4 months ago
A leader-based parallel cross entropy algorithm for MCP
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
Zhanhua Bai, Qiang Lv
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
PROMAS
2007
Springer
15 years 4 months ago
Modules as Policy-Based Intentions: Modular Agent Programming in GOAL
Modular programming has the usual benefits associated with structured programming, information hiding and reusability, but also has additional benefits to offer when applied in ...
Koen V. Hindriks