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» An empirical study of optimizations in YOGI
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CP
2005
Springer
14 years 1 months ago
Solving Simple Planning Problems with More Inference and No Search
Many problems used in AI planning including Blocks, Logistics, Gripper, Satellite, and others lack the interactions that characterize puzzles and can be solved nonoptimally in low...
Vincent Vidal, Hector Geffner
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 1 months ago
On the complexity of hierarchical problem solving
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
GECCO
2005
Springer
193views Optimization» more  GECCO 2005»
14 years 1 months ago
On the contribution of gene libraries to artificial immune systems
Gene libraries have been added to Artificial Immune Systems in analogy to biological immune systems, but to date no careful study of their effect has been made. This work investig...
Peter Spellward, Tim Kovacs
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
GECCO
2004
Springer
14 years 1 months ago
On the Strength of Size Limits in Linear Genetic Programming
Abstract. Bloat is a common and well studied problem in genetic programming. Size and depth limits are often used to combat bloat, but to date there has been little detailed explor...
Nicholas Freitag McPhee, Alex Jarvis, Ellery Fusse...