Among the problems which cannot be solved in polynomial time there is a subclass of problems that can be solved by means of certain iterative process where each iteration is used to improve the result achieved by all the previous ones. Hence, provided there are some certain constraints for the criterion function (for instance, finiteness of it's range), there is a polynomial solution in some sense — the solution is linearly dependent on the potency of the range of this function. In this work one can find an example of such iterative algorithm
We have previously presented a new one parameter family of algorithms and a program for evaluation t...
AbstractWe consider the problem of choosing optimal parameters in certain iterative procedures. Spec...
Several general benchmark generators (BGs) are available for the dynamic continuous optimization dom...
We present a numerical algorithm for finding real non-negative solutions to a certain class of polyn...
Extremal permutation problems are combinatorial problems where an objective function has to be optim...
Estimation of Distribution Algorithms (EDAs) are a set of algorithms that belong to the field of Ev...
The paper deals with a new method of solving a combinatorial problem with account for the properties...
AbstractFor a permutation group given by a set of generators, the problem of finding “special” group...
AbstractIn this paper we address the complexity of postoptimality analysis of 01 programs with a lin...
Since their introduction, Estimation of Distribution Algorithms (EDAs) have proved to be very compet...
Ph.D.Operations researchUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://d...
This paper proposes an algorithm for online linear optimization problem over permutations; the objec...
For a permutation group given by a set of generators, the problem of finding "special" group members...
Abstract. In IDEAs, the probability distribution of a selection of so-lutions is estimated each gene...
Abstract: In this paper we present a population-based algo-rithm for solving permutational optimizat...
We have previously presented a new one parameter family of algorithms and a program for evaluation t...
AbstractWe consider the problem of choosing optimal parameters in certain iterative procedures. Spec...
Several general benchmark generators (BGs) are available for the dynamic continuous optimization dom...
We present a numerical algorithm for finding real non-negative solutions to a certain class of polyn...
Extremal permutation problems are combinatorial problems where an objective function has to be optim...
Estimation of Distribution Algorithms (EDAs) are a set of algorithms that belong to the field of Ev...
The paper deals with a new method of solving a combinatorial problem with account for the properties...
AbstractFor a permutation group given by a set of generators, the problem of finding “special” group...
AbstractIn this paper we address the complexity of postoptimality analysis of 01 programs with a lin...
Since their introduction, Estimation of Distribution Algorithms (EDAs) have proved to be very compet...
Ph.D.Operations researchUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://d...
This paper proposes an algorithm for online linear optimization problem over permutations; the objec...
For a permutation group given by a set of generators, the problem of finding "special" group members...
Abstract. In IDEAs, the probability distribution of a selection of so-lutions is estimated each gene...
Abstract: In this paper we present a population-based algo-rithm for solving permutational optimizat...
We have previously presented a new one parameter family of algorithms and a program for evaluation t...
AbstractWe consider the problem of choosing optimal parameters in certain iterative procedures. Spec...
Several general benchmark generators (BGs) are available for the dynamic continuous optimization dom...