On the complexity of search algorithms (original) (raw)

Position Paper: Incremental Search Algorithms Considered Poorly Understood

Carlos Hernández

Proceedings of the International Symposium on Combinatorial Search

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Truncated incremental search

Sandip Aine

Artificial Intelligence, 2016

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Performance of Linear-Space Search Algorithms

Weixiong Zhang

Artificial Intelligence, 1995

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Generalized best-first search strategies and the optimality of A

Judea Pearl

Journal of The ACM - JACM, 1985

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AI 03 Solving Problems by Searching

Hassan Sebak

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Recursive Best-First Search with Bounded Overhead

Wheeler Ruml

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2015

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Assessing the Finite-Time Performance of Local Search Algorithms

Ron Wakefield

2001

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Combining variants of iterative flattening search

Angelo Oddi

Engineering Applications of Artificial Intelligence, 2008

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Best-first utility-guided search

Wheeler Ruml

2007

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Efficient Memory-Bounded Search Methods.

Stuart J. Russell

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The B∗ tree search algorithm—New results

Andrew Palay

Artificial Intelligence, 1982

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Exhaustive Directed Search

Sanza Kazadi

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Potential search: a bounded-cost search algorithm

Roni Stern

Proceedings of the Twenty-First International …, 2011

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Note: Online Searching/on the Optimality of the Geometric Sequences for the m Ray Search Online Searching

Matthew Stafford

Operations Research, 2002

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Reasons for the effects of bounded look-ahead search

Hermann Kaindl

IEEE Transactions on Systems, Man, and Cybernetics, 1992

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Progressive Focusing Search

Nicolas Prcovic, Bertrand Neveu

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An experimental analysis of the B* tree search algorithm

Andrew Palay

2018

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Using distance estimates in heuristic search: A re-evaluation

Wheeler Ruml

2009

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Extended abstract: Learning search strategies

Stuart J. Russell

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New Results in Bounded-Suboptimal Search

Wheeler Ruml

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2022

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Depth-First Branch-and-Bound versus Local Search: A Case Study

Weixiong Zhang

2000

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A general branch and bound formulation for understanding and synthesizing and/or tree search procedures*

vipin Kumar

Artificial Intelligence, 1983

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Improving search efficiency using possible subgoals

John Dillenburg

Mathematical and Computer Modelling, 1995

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Potential-based bounded-cost search and Anytime Non-Parametric A⁎

Rami Puzis

Artificial Intelligence, 2014

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Truncated Incremental Search: Faster Replanning by Exploiting Suboptimality

Sandip Aine

Proceedings of the AAAI Conference on Artificial Intelligence

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An elementary approach to optimal discrete-time search strategies

Raymond Cheng

Sequential Analysis, 2017

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An Algorithm for Analysis the Time Complexity for Iterated Local Search (ILS

QUEST JOURNALS

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The scaling of search cost

Karen Petrie

1997

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Adaptive Tree Search A thesis

Wheeler Ruml

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Techniques for Improving the Efficiency of Heuristic Search

John Dillenburg

1993

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Search strategies for an anytime usage of the branch and prune algorithm

Raphaël Chenouard

2009

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Better Parameter-Free Anytime Search by Minimizing Time Between Solutions

J. Benton

2012

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Complexity Analysis of Admissible Heuristic Search

Michael Reid

1998

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Worst Improvement Based Iterated Local Search

Adrien Goëffon

Lecture Notes in Computer Science, 2018

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