Add to ORKGA "signomial" is a mathematical function, contains one or more independent variables. Richard J. Duffin and Elmor L. Peterson introduced the term "signomial". Signomial geometric programming (SGP) optimization technique often provides a much better mathematical result of real-world nonlinear optimization problems. In this research paper, we have proposed unconstrained and constrained signomial geometric programming (SGP) problem with positive or negative integral degree of difficulty. Here a modified form of signomial geometric programming (MSGP) has been developed and some theorems have been derived. Finally, these are illustrated by proper examples and applications
Generalized geometric programming (GGP) problems are converted to mixed-integer linear programming (...
Optimization is at the heart of many engineering problems. Many optimization problems, however, are ...
Abstract Signomial Programming (SP) has proven to be a powerful tool for engineering de...
A "signomial" is a mathematical function, contains one or more independent variables. Richard J. Duf...
AbstractSignomial geometric programming (SGP) has been an interesting problem for many authors recen...
AbstractIn this paper a new approach for the global solution of nonconvex MINLP (Mixed Integer NonLi...
This paper presents a global optimization approach for solving signomial geometric programming (SGP)...
La técnica de programación geométrica resuelve problemas no lineales en los que tanto la función obj...
Many design problems from diverse engineering disciplines can be formulated as signomial programs wi...
International audienceThe generation of valid inequalities is central to solving non-convex Mixed-In...
A deterministic global optimization algorithm is proposed for locating the global minimum of general...
A deterministic global optimization algorithm is proposed for locating the global minimum of general...
We describe a generalization of the Sums-of-AM/GM-Exponential (SAGE) methodology for relative entrop...
AbstractIn this paper a deterministic global optimization algorithm is proposed for locatingthe glob...
Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program...
Generalized geometric programming (GGP) problems are converted to mixed-integer linear programming (...
Optimization is at the heart of many engineering problems. Many optimization problems, however, are ...
Abstract Signomial Programming (SP) has proven to be a powerful tool for engineering de...
A "signomial" is a mathematical function, contains one or more independent variables. Richard J. Duf...
AbstractSignomial geometric programming (SGP) has been an interesting problem for many authors recen...
AbstractIn this paper a new approach for the global solution of nonconvex MINLP (Mixed Integer NonLi...
This paper presents a global optimization approach for solving signomial geometric programming (SGP)...
La técnica de programación geométrica resuelve problemas no lineales en los que tanto la función obj...
Many design problems from diverse engineering disciplines can be formulated as signomial programs wi...
International audienceThe generation of valid inequalities is central to solving non-convex Mixed-In...
A deterministic global optimization algorithm is proposed for locating the global minimum of general...
A deterministic global optimization algorithm is proposed for locating the global minimum of general...
We describe a generalization of the Sums-of-AM/GM-Exponential (SAGE) methodology for relative entrop...
AbstractIn this paper a deterministic global optimization algorithm is proposed for locatingthe glob...
Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program...
Generalized geometric programming (GGP) problems are converted to mixed-integer linear programming (...
Optimization is at the heart of many engineering problems. Many optimization problems, however, are ...
Abstract Signomial Programming (SP) has proven to be a powerful tool for engineering de...