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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 2 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

Publication
226views
15 years 6 months ago
A Gentle Introduction to Multi-stage Programming
Multi-stage programming (MSP) is a paradigm for developing generic software that does not pay a runtime penalty for this generality. This is achieved through concise, carefully-des...
Walid Taha
FSS
2008
145views more  FSS 2008»
13 years 8 months ago
A logic programming framework for possibilistic argumentation: Formalization and logical properties
In the last decade defeasible argumentation frameworks have evolved to become a sound setting to formalize commonsense, qualitative reasoning. The logic programming paradigm has s...
Teresa Alsinet, Carlos Iván Chesñeva...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 10 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
13 years 10 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli