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» Solving iterated functions using genetic programming
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IWMM
2009
Springer
122views Hardware» more  IWMM 2009»
15 years 10 months ago
Parametric heap usage analysis for functional programs
This paper presents an analysis that derives a formula describing the worst-case live heap space usage of programs in a functional language with automated memory management (garba...
Leena Unnikrishnan, Scott D. Stoller
146
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KES
2006
Springer
15 years 3 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
137
Voted
COR
2002
90views more  COR 2002»
15 years 3 months ago
Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming prob
This paper presents the fundamental theory and algorithms for identifying the most preferred alternative for a decision maker (DM) having a non-centrist (or extremist) preferentia...
Behnam Malakooti, Jumah E. Al-alwani
132
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 9 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
142
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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 9 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden