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CEC
2007
IEEE
16 years 16 days ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
AIMSA
2004
Springer
15 years 11 months ago
Exploiting the Constrainedness in Constraint Satisfaction Problems
Nowadays, many real problem in Artificial Intelligence can be modeled as constraint satisfaction problems (CSPs). A general rule in constraint satisfaction is to tackle the hardes...
Miguel A. Salido, Federico Barber
GECCO
2011
Springer
374views Optimization» more  GECCO 2011»
14 years 9 months ago
A hybrid heuristic approach for solving the generalized traveling salesman problem
The generalized traveling salesman problem (GTSP) is an NPhard problem that extends the classical traveling salesman problem by partitioning the nodes into clusters and looking fo...
Petrica C. Pop, Serban Iordache
CORR
2002
Springer
83views Education» more  CORR 2002»
15 years 6 months ago
Optimal Ordered Problem Solver
We introduce a general and in a certain sense time-optimal way of solving one problem after another, efficiently searching the space of programs that compute solution candidates, i...
Jürgen Schmidhuber
IJCAI
2003
15 years 7 months ago
Contract Algorithms and Robots on Rays: Unifying Two Scheduling Problems
We study two apparently different, but formally similar, scheduling problems. The first problem involves contract algorithms, which can trade off run time for solution quality, a...
Daniel S. Bernstein, Lev Finkelstein, Shlomo Zilbe...