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» A Search Algorithm for Global Optimisation
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112
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EVOW
2009
Springer
15 years 17 days ago
The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation
Abstract. In this paper we propose a new benchmark problem for dynamic combinatorial optimisation. Unlike most previous benchmarks, we focus primarily on the underlying dynamics of...
Philipp Rohlfshagen, Xin Yao
AI
2000
Springer
15 years 2 months ago
EXPTIME tableaux for ALC
We show that global caching can be used with propagation of both satisfiability and unsatisfiability in a sound manner to give an EXPTIME algorithm for checking satisfiability w.r....
Francesco M. Donini, Fabio Massacci
148
Voted
CP
2011
Springer
14 years 2 months ago
Pruning Rules for Constrained Optimisation for Conditional Preferences
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Problem (CSP) with respect to a set of conditional preferences statements (e.g.,...
Nic Wilson, Walid Trabelsi
102
Voted
AIPS
2010
15 years 5 months ago
The Joy of Forgetting: Faster Anytime Search via Restarting
Anytime search algorithms solve optimisation problems by quickly finding a usually suboptimal solution and then finding improved solutions when given additional time. To deliver a...
Silvia Richter, Jordan Tyler Thayer, Wheeler Ruml
118
Voted
GECCO
2009
Springer
15 years 9 months ago
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
In this paper, we rigorously analyse how the magnitude and frequency of change may affect the performance of the algorithm (1+1) EAdyn on a set of artificially designed pseudo-Bo...
Philipp Rohlfshagen, Per Kristian Lehre, Xin Yao