Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
The computational complexity of propositional STRIPS planning
Artificial Intelligence
Advances in genetic programming
Genetic programming and AI planning systems
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Seeding Genetic Programming Populations
Proceedings of the European Conference on Genetic Programming
SINERGY: A Linear Planner Based on Genetic Programming
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
STRIPS: a new approach to the application of theorem proving to problem solving
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Frame packing algorithms for automotive applications
Journal of Embedded Computing - Embeded Processors and Systems: Architectural Issues and Solutions for Emerging Applications
On the generality of parameter tuning in evolutionary planning
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Instance-based parameter tuning for evolutionary AI planning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
On the benefit of sub-optimality within the divide-and-evolve scheme
EvoCOP'10 Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization
Exploiting prior information in multi-objective route planning
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Learn-and-Optimize: a parameter tuning framework for evolutionary AI planning
EA'11 Proceedings of the 10th international conference on Artificial Evolution
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Planning is a difficult and fundamental problem of AI. An alternative solution to traditional planning techniques is to apply Genetic Programming. As a program is similar to a plan a Genetic Planner can be constructed that evolves plans to the plan solution. One of the stages of the Genetic Programming algorithm is the initial population seeding stage. We present five alternatives to simple random selection based on simple search. We found that some of these strategies did improve the initial population, and the efficiency of the Genetic Planner over simple random selection of actions.