2005 · 42 citations · 3 references
This paper describes a genetic planning system, i.e., a program capable of solving planning problems us-ing evolutionary techniques. As opposed to other ap-proaches in Genetic Planning, we use a variable length chromosomes model in addition to a complex tness function and several enhancements of the Simple Ge-netic Algorithm (Holland 1975), such as multipopula-tions, population reset, weak memetism, tournament se-lection and elitist genetic operators. Our genetic planner is tested on standard planning domains and problems (described in PDDL), is used for parameter and per-formance analysis, and is compared to previous work. Results show efciency in memory management and greater solving power than the predecessors'.
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Recent Advances in AI Planning
Daniel S. Weld · AI Magazine · 1999 · 425 citations
Artificial Intelligence, Engineering, Interleaved Planning +16
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta et al. · 1993 · 325 citations
Genetic programming and AI planning systems
Lee Spector · 1994 · 42 citations