Symmetry breaking and local search spaces

Research output: Contribution to journalArticlepeer-review

Abstract

The effects of combining search and modelling techniques can be complex and unpredictable, so guidelines are very important for the design and development of effective and robust solvers and models. A recently observed phenomenon is the negative effect of symmetry breaking constraints on local search performance. The reasons for this are poorly understood, and we attempt to shed light on the phenomenon by testing three conjectures: that the constraints create deep new local optima; that they can reduce the relative size of the basins of attraction of global optima; and that complex local search heuristics reduce their negative effects.

Original languageEnglish
Pages (from-to)273-287
Number of pages15
JournalLecture Notes in Computer Science
Volume3524
DOIs
Publication statusPublished - 2005
EventSecond International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2005 - Prague, Czech Republic
Duration: 31 May 20051 Jun 2005

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