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» Algebraic simplification of GP programs during evolution
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 8 months ago
Algebraic simplification of GP programs during evolution
Program bloat is a fundamental problem in the field of Genetic Programming (GP). Exponential growth of redundant and functionally useless sections of programs can quickly overcome...
Phillip Wong, Mengjie Zhang
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 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
2007
Springer
200views Optimization» more  GECCO 2007»
13 years 10 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
AIIDE
2008
13 years 7 months ago
Effects of Communication on the Evolution of Squad Behaviours
As the non-playable characters (NPCs) of squad-based shooter computer games share a common goal, they should work together in teams and display cooperative behaviours that are tac...
Darren Doherty, Colm O'Riordan
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
13 years 5 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang