151 search results - page 1 / 31 » Seeding Genetic Programming Populations |
EUROGP
2000
Springer
13 years 8 months ago
2000
Springer
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
EPS
1998
Springer
13 years 9 months ago
1998
Springer
Abstract. In this paper we describe EvoCK, a new approach to the application of genetic programming (GP) to planning. This approach starts with a traditional AI planner (PRODIGY)an...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
GECCO
1999
Springer
13 years 9 months ago
1999
Springer
In genetic programming a general consensus is that the population should be as large as practically possible or sensible. In this paper we examine a batch of problems of combinato...