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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 7 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
IBERAMIA
2004
Springer
15 years 9 months ago
Constrainedness and Redundancy by Constraint Ordering
Abstract. In constraint satisfaction, a general rule is to tackle the hardest part of a search problem first. In this paper, we introduce a parameter (τ) that measures the constr...
Miguel A. Salido, Federico Barber
EVOW
2009
Springer
15 years 10 months ago
Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks
The problem of finding a symmetric connectivity topology with minimum power consumption in a wireless ad-hoc network is NPhard. This work presents a new iterated local search to s...
Steffen Wolf, Peter Merz
INFORMATICALT
2006
110views more  INFORMATICALT 2006»
15 years 4 months ago
Iterated Tabu Search for the Unconstrained Binary Quadratic Optimization Problem
Given a set of objects with profits (any, even negative, numbers) assigned not only to separate objects but also to pairs of them, the unconstrained binary quadratic optimization p...
Gintaras Palubeckis
AAAI
2000
15 years 5 months ago
Extracting Effective and Admissible State Space Heuristics from the Planning Graph
Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches h...
XuanLong Nguyen, Subbarao Kambhampati