1157 search results - page 49 / 232 » Solving iterated functions using genetic programming |
150
Voted
ACSW
2004
15 years 4 months ago
2004
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
122
Voted
GECCO
2006
Springer
15 years 7 months ago
2006
Springer
Classical chess engines exhaustively explore moving possibilities from a chessboard configuration to choose what the next best move to play is. In this article we present a new me...
142
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
139
Voted
PPSN
1994
Springer
15 years 7 months ago
1994
Springer
This paper studies Genetic Programming (GP) and its relation to the Genetic Algorithm (GA). GP uses a GA approach to breed successive populations of programs, represented in the ch...
173
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...