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» Solving iterated functions using genetic programming
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108
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GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
15 years 3 months ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
118
Voted
ICML
1994
IEEE
15 years 6 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard
133
Voted
CSCLP
2007
Springer
15 years 8 months ago
Preference-Based Problem Solving for Constraint Programming
Abstract. Combinatorial problems such as scheduling, resource allocation, and configuration have many attributes that can be subject of user preferences. Traditional optimization ...
Ulrich Junker
CDC
2010
IEEE
130views Control Systems» more  CDC 2010»
14 years 9 months ago
A fast well-conditioned interior point method for predictive control
Interior point methods (IPMs) have proven to be an efficient way of solving quadratic programming problems in predictive control. A linear system of equations needs to be solved in...
Amir Shahzad, Eric C. Kerrigan, George A. Constant...
145
Voted
APLAS
2003
ACM
15 years 8 months ago
Constraint Functional Logic Programming for Origami Construction
We describe origami programming methodology based on constraint functional logic programming. The basic operations of origami are reduced to solving systems of equations which desc...
Tetsuo Ida, Mircea Marin, Hidekazu Takahashi