Add to ORKGA neural network approach for solving the two-dimensional assignment problem is proposed. The design of the neural network is discussed and simulation results are presented. The neural network obtains 10-15% lower cost placements on the examples considered, than the adjacent pairwise exchange method
Given article is devoted features of the decision of a problem of integer nonlinear programming, by ...
A new approach is presented to neural network simulation and training that is based on the use of ge...
We propose a novel algorithm for placement of standard cells in VLSI circuits based on an analogy of...
Abstract. During the last two decades, several neural networks have been proposed for solving the as...
This paper presents a new algorithm for the well-studied assignment problem. Our assignment algorith...
International audienceThe linear assignment problem is a fundamental com-binatorial problem and a cl...
The Quadratic Assignment Problem (QAP) was introduced by Koopmans and Beckmann in 1957 as a mathemat...
Linear Assignment Problems are fundamental combinatorial optimization problems that appear throughou...
An approach that integrates artificial neural networks and optimization methods for automating regul...
Tyt. z nagłówka.Bibliogr. s. 36.Dostępny również w formie drukowanej.ABSTRACT: Assignment Problem (A...
A recurrent neural network approach to robust approximate pole assignment for second-order systems i...
Abstract—This paper proposes Hopfield type neural network architecture consisting of binary neurons ...
In a multi-agent system, multi-job assignment is an optimization problem that seeks to minimize tota...
In recent years neural network have been shown to be quite effective in solving difficult combinator...
This paper proposes a method to allocate transmission usage for simultaneous bilateral transactions ...
Given article is devoted features of the decision of a problem of integer nonlinear programming, by ...
A new approach is presented to neural network simulation and training that is based on the use of ge...
We propose a novel algorithm for placement of standard cells in VLSI circuits based on an analogy of...
Abstract. During the last two decades, several neural networks have been proposed for solving the as...
This paper presents a new algorithm for the well-studied assignment problem. Our assignment algorith...
International audienceThe linear assignment problem is a fundamental com-binatorial problem and a cl...
The Quadratic Assignment Problem (QAP) was introduced by Koopmans and Beckmann in 1957 as a mathemat...
Linear Assignment Problems are fundamental combinatorial optimization problems that appear throughou...
An approach that integrates artificial neural networks and optimization methods for automating regul...
Tyt. z nagłówka.Bibliogr. s. 36.Dostępny również w formie drukowanej.ABSTRACT: Assignment Problem (A...
A recurrent neural network approach to robust approximate pole assignment for second-order systems i...
Abstract—This paper proposes Hopfield type neural network architecture consisting of binary neurons ...
In a multi-agent system, multi-job assignment is an optimization problem that seeks to minimize tota...
In recent years neural network have been shown to be quite effective in solving difficult combinator...
This paper proposes a method to allocate transmission usage for simultaneous bilateral transactions ...
Given article is devoted features of the decision of a problem of integer nonlinear programming, by ...
A new approach is presented to neural network simulation and training that is based on the use of ge...
We propose a novel algorithm for placement of standard cells in VLSI circuits based on an analogy of...