The paper proposes a new approach to solving the discrete design optimization problem by combining Boolean logic methods with conventional nonlinear optimization. A continuous variable optimum is first found, and then the Boolean method searches the local region for the discrete variable optimum. Introduction We are concerned with proposing a new approach to solving the discrete design optimization using Boolean methods. The general nonlinear problem can be stated as follows
AbstractThis paper presents a heuristic approach for minimizing nonlinear mixed discrete-continuous ...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Optimal control problems arise in many applications, such as in economics, finance, process engineer...
Optimization can make at least two contributions to boolean logic. Its solution methods can address ...
Abstract:- Generalized algorithms for solving problems of discrete, integer, and Boolean programming...
ABSTRACT. The notion of the set of stability of a locally optimal solution is introduced for Boolean...
Abstract: "This paper presents an overview on two recent developments in optimization techniques tha...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Separable problems of discrete optimization are considered in the paper aiming at the creation of th...
Discrete nonlinear programming (DNLP) problems form an interesting and computationally challenging p...
Mixed-integer linear programming reformuilations [sic] for some nonlinear discrete design optimizati...
An algorithm for solving nonlinear optimization problems involving discrete, integer, zero-one, and ...
A strategy for design optimization of nonlinearly constrained problems is presented. The strategy co...
A strategy for design optimization for nonlinearly constrained problems is presented. The strategy c...
The paper presents an application of a constructive learning algorithm to optimization of circuits. ...
AbstractThis paper presents a heuristic approach for minimizing nonlinear mixed discrete-continuous ...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Optimal control problems arise in many applications, such as in economics, finance, process engineer...
Optimization can make at least two contributions to boolean logic. Its solution methods can address ...
Abstract:- Generalized algorithms for solving problems of discrete, integer, and Boolean programming...
ABSTRACT. The notion of the set of stability of a locally optimal solution is introduced for Boolean...
Abstract: "This paper presents an overview on two recent developments in optimization techniques tha...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Separable problems of discrete optimization are considered in the paper aiming at the creation of th...
Discrete nonlinear programming (DNLP) problems form an interesting and computationally challenging p...
Mixed-integer linear programming reformuilations [sic] for some nonlinear discrete design optimizati...
An algorithm for solving nonlinear optimization problems involving discrete, integer, zero-one, and ...
A strategy for design optimization of nonlinearly constrained problems is presented. The strategy co...
A strategy for design optimization for nonlinearly constrained problems is presented. The strategy c...
The paper presents an application of a constructive learning algorithm to optimization of circuits. ...
AbstractThis paper presents a heuristic approach for minimizing nonlinear mixed discrete-continuous ...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Optimal control problems arise in many applications, such as in economics, finance, process engineer...