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The features of an evolutionary algorithm that most determine its performance are the coding by which its chromosomes represent candidate solutions to its target problem and the operators that act on that coding. Also, when a problem involves constraints, a coding that represents only valid solutions and operators that preserve that validity represent a smaller search space and result in a more effective search. Two genetic algorithms for the leaf-constrained minimum spanning tree problem illustrate...
We first describe four recent methods to cluster vertices of an undirected non weighted connected graph. They are all based on very different principles. The fifth is a combination of classical ideas in optimization applied to graph partitioning. We compare these methods according to their ability to recover classes initially introduced in random graphs with more edges within the classes than between them.
We first describe four recent methods to cluster vertices of an
undirected non weighted connected graph. They are all based on
very different principles. The fifth is a combination of classical
ideas in optimization applied to graph partitioning. We compare
these methods according to their ability to recover classes
initially introduced in random graphs with more edges within the
classes than between them.
Ce travail porte sur l'optimisation des lignes
d'usinage pour la grande série. Une telle ligne comporte plusieurs
postes de travail, chacun étant équipé avec boîtiers multibroches. Un
boîtier multibroche exécute plusieurs opérations en parallèle.
Lors de la conception en avant-projet,
il est nécessaire d'affecter toutes les opérations à des boîtiers et
des postes de travail de sorte à minimiser le nombre de postes et de
boîtiers utilisés. Pour ce nouveau problème d'équilibrage des lignes
de production,...
We present a hybrid approach for the Frequency Assignment Problem with Polarization. This problem, viewed as Max-CSP, is treated as a sequence of decision problems, CSP like. The proposed approach combines the Arc-Consistency techniques with a performed Tabu Search heuristic. The resulting algorithm gives some high quality solutions and has proved its robustness on instances with approximately a thousand variables and nearly ten thousand constraints.
We present a hybrid approach for the Frequency
Assignment Problem with Polarization. This problem, viewed as
Max-CSP, is treated as a sequence of decision problems, CSP
like. The proposed approach combines the Arc-Consistency
techniques with a performed Tabu Search heuristic. The resulting
algorithm gives some high quality solutions and has proved its
robustness on instances with approximately a thousand variables
and nearly ten thousand constraints.
In this work we consider the problem of determining and implementing a state feedback stabilizing control law for a laboratory two-tank dynamic system in the presence of state and control constraints. We do this by exploiting the properties of the polyhedral Lyapunov functions, i. e. Lyapunov functions whose level surfaces are polyhedra, in view of their capability of providing an arbitrarily good approximation of the maximal set of attraction, which is the largest set of initial states which can...
We consider continuous reformulations of the euclidean travelling salesperson problem (TSP), based on certain clustering problem formulations. These reformulations allow us to apply a generalisation with perturbations of the Weiszfeld algorithm in an attempt to find local approximate solutions to the euclidean TSP.
We consider continuous reformulations of the Euclidean travelling
salesperson problem (TSP), based on certain clustering problem
formulations. These reformulations allow us to apply a generalisation
with perturbations of the Weiszfeld algorithm in an attempt to
find local approximate solutions to the Euclidean TSP.
We propose a method that enables effective code reuse between evolutionary runs that solve a set of related visual learning tasks. We start with introducing a visual learning approach that uses genetic programming individuals to recognize objects. The process of recognition is generative, i.e., requires the learner to restore the shape of the processed object. This method is extended with a code reuse mechanism by introducing a crossbreeding operator that allows importing the genetic material from...
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