This paper describes ILP-PLAN, a framework for solving AI planning problems represented as integer linear programs. ILP-PLAN extends the planning as satisfiability framework to handle plans with resources, action costs, and complex objective functions. We show that challenging planning problems can be effectively solved using both traditional branch-and-bound integer programming solvers and efficient new integer local search algorithms. ILP-PLAN can find better quality solutions for a set of hard benchmark logistics planning problems than had been found by any earlier system.
HENRY KAUTZ, JOACHIM P. WALSER. 2000. Integer optimization models of AI planning problems. The Knowledge Engineering Review 15(1)101−117, doi: 10.1017/S0269888900001053
HENRY KAUTZ, JOACHIM P. WALSER. 2000. Integer optimization models of AI planning problems. The Knowledge Engineering Review 15(1)101−117, doi: 10.1017/S0269888900001053
Abstract: This paper describes ILP-PLAN, a framework for solving AI planning problems represented as integer linear programs. ILP-PLAN extends the planning as satisfiability framework to handle plans with resources, action costs, and complex objective functions. We show that challenging planning problems can be effectively solved using both traditional branch-and-bound integer programming solvers and efficient new integer local search algorithms. ILP-PLAN can find better quality solutions for a set of hard benchmark logistics planning problems than had been found by any earlier system.
HENRY KAUTZ, JOACHIM P. WALSER. 2000. Integer optimization models of AI planning problems. The Knowledge Engineering Review 15(1)101−117, doi: 10.1017/S0269888900001053
HENRY KAUTZ, JOACHIM P. WALSER. 2000. Integer optimization models of AI planning problems. The Knowledge Engineering Review 15(1)101−117, doi: 10.1017/S0269888900001053
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HENRY KAUTZ, JOACHIM P. WALSER. 2000. Integer optimization models of AI planning problems. The Knowledge Engineering Review 15(1)101−117, doi: 10.1017/S0269888900001053
HENRY KAUTZ, JOACHIM P. WALSER. 2000. Integer optimization models of AI planning problems. The Knowledge Engineering Review 15(1)101−117, doi: 10.1017/S0269888900001053
