Original scientific paper
Performance Analysis of Beam Search with Look Ahead
Suranjan De
; A. Gary Anderson Graduate School of Management, University of California, Riverside, USA
Anita Lee-Post
; Decision Science & Information Systems Area, School of Management, Gatton College of Business & Economics, University of Kentucky, Lexington, USA
Abstract
This paper presents a heuristic search strategy called beam search and investigates its effectiveness by applying it to classical job shop scheduling problems. A look-ahead feature is incorporated in the strategy to detect potential resource conflicts. Benchmark problems and existing test cases are used in a performance analysis of the search strategy. The search strategy is implemented in a SUN SPARC station using Common-LISP. Our computational experience using this enhanced version of beam search on job shop scheduling problems are reported.
Keywords
Scheduling; Heuristic Search; Beam Search; Look-ahead
Hrčak ID:
150247
URI
Publication date:
30.12.1997.
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