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AI
2006
Springer
13 years 9 months ago
Cut-and-solve: An iterative search strategy for combinatorial optimization problems
Branch-and-bound and branch-and-cut use search trees to identify optimal solutions to combinatorial optimization problems. In this paper, we introduce an iterative search strategy...
Sharlee Climer, Weixiong Zhang
CEC
2011
IEEE
12 years 9 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
HICSS
1995
IEEE
128views Biometrics» more  HICSS 1995»
14 years 23 days ago
Instruction Level Parallelism
Abstract. We reexamine the limits of parallelism available in programs, using runtime reconstruction of program data-flow graphs. While limits of parallelism have been examined in...
CPHYSICS
2006
127views more  CPHYSICS 2006»
13 years 9 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
ENTCS
2007
190views more  ENTCS 2007»
13 years 8 months ago
Modelling Multicast QoS Routing by using Best-Tree Search in And-or Graphs and Soft Constraint Logic Programming
We suggest a formal model to represent and solve the multicast routing problem in multicast networks. To attain this, we model the network adapting it to a weighted and-or graph, ...
Stefano Bistarelli, Ugo Montanari, Francesca Rossi...