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GPEM
2006
161views more  GPEM 2006»
15 years 3 months ago
Solving differential equations with genetic programming
A novel method for solving ordinary and partial differential equations, based on grammatical evolution is presented. The method forms generations of trial solutions expressed in an...
Ioannis G. Tsoulos, Isaac E. Lagaris
132
Voted
TSMC
1998
132views more  TSMC 1998»
15 years 3 months ago
Decision support for vehicle dispatching using genetic programming
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
Ilham Benyahia, Jean-Yves Potvin
GPEM
2010
104views more  GPEM 2010»
15 years 2 months ago
Genetic Programming and Evolvable Machines: ten years of reviews
The journal and in particular the resource reviews have been running for ten years. There are a number of activities being planned to celebrate. However it is a good time to revisi...
William B. Langdon, Steven M. Gustafson
142
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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 10 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
114
Voted
GECCO
2004
Springer
15 years 9 months ago
Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups
In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describ...
Tadahiko Murata, Takashi Nakamura