Alternative Forms of Bounded Suboptimal Search
نویسندگان
چکیده
Finding optimal solutions to search problems is often not practical due to run-time constraints. This has led to the development of algorithms that sacrifice solution quality in favour of a faster search. The solution quality of a suboptimal solution is often measured by the ratio C C , where C is the cost of the solution found and C is the cost of the optimal solution. Some search algorithms allow a user to define an acceptable level of solution suboptimality that any solution returned must adhere to. Such algorithms are referred to as bounded suboptimal algorithms. For example, Weighted A* (WA*) (Pohl 1970) guarantees that the ratio C C of any solution found is at most (1 + ǫ), where ǫ is the acceptable level of suboptimality defined by the user.
منابع مشابه
Simpler Bounded Suboptimal Search
It is commonly appreciated that solving search problems optimally can take too long. Bounded suboptimal search algorithms trade increased solution cost in a principled way for reduced solving time. Explicit Estimation Search (EES) is a recent state-of-the-art algorithm for bounded suboptimal search. Although it tends to expand fewer nodes than alternative algorithms, its per-node expansion over...
متن کاملBounded Suboptimal Search in Linear Space: New Results
Bounded suboptimal search algorithms are usually faster than optimal ones, but they can still run out of memory on large problems. This paper makes three contributions. First, we show how solution length estimates, used by the current stateof-the-art linear-space bounded suboptimal search algorithm Iterative Deepening EES, can be used to improve unboundedspace suboptimal search. Second, we conv...
متن کاملFaster Bounded-Cost Search Using Inadmissible Estimates
Many important problems are too difficult to solve optimally. A traditional approach to such problems is bounded suboptimal search, which guarantees solution costs within a userspecified factor of optimal. Recently, a complementary approach has been proposed: bounded-cost search, where solution cost is required to be below a user-specified absolute bound. In this paper, we show how bounded-cost...
متن کاملDynamic Potential Search - A New Bounded Suboptimal Search
Potential Search (PS) is an algorithm that is designed to solve bounded cost search problems. In this paper, we modify PS to work within the framework of bounded suboptimal search and introduce Dynamic Potential Search (DPS). DPS uses the idea of PS but modifies the bound to be the product of the minimal f -value in OPEN and the required suboptimal bound. We study DPS and its attributes. We the...
متن کاملBounded Suboptimal Heuristic Search in Linear Space
It is commonly appreciated that solving search problems optimally can overrun time and memory constraints. Bounded suboptimal search algorithms trade increased solution cost for reduced solving time and memory consumption. However, even suboptimal search can overrun memory on large problems. The conventional approach to this problem is to combine a weighted admissible heuristic with an optimal ...
متن کامل