Many optimization problems involve integer and continuous variables that can be modeled as mixed integer nonlinear programming (MINLP) problems. This has led to a wide range of applications, in particular in some engineering areas. Here, we provide a brief overview on MINLP, and present a simple idea for a future nonconvex MINLP solution technique.Fundação para a Ciência e a Tecnologia (FCT
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
Mixed-integer nonlinear programming, MINLP, has played a crucial role in chemical process design via...
Many optimization problems involve integer and continuous variables that can be modeled as mixed in...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
We present a methodology to solve nonconvex Mixed-Integer Nonlinear Programming problems, that combi...
We present a methodology to solve nonconvex Mixed-Integer Nonlinear Programming problems, that combi...
Technical Report #1664, Computer Sciences Department, University of Wisconsin-Madison, 2009.This pap...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems is...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems is...
Mathematical models for optimal decisions often require both nonlinear and discrete components. Thes...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems i...
With widespread use of mixed-integer modeling for continuous and discontinuous nonlinear chemical pr...
AbstractThis paper is motivated by the fact that mixed integer nonlinear programming is an important...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
Mixed-integer nonlinear programming, MINLP, has played a crucial role in chemical process design via...
Many optimization problems involve integer and continuous variables that can be modeled as mixed in...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
We present a methodology to solve nonconvex Mixed-Integer Nonlinear Programming problems, that combi...
We present a methodology to solve nonconvex Mixed-Integer Nonlinear Programming problems, that combi...
Technical Report #1664, Computer Sciences Department, University of Wisconsin-Madison, 2009.This pap...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems is...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems is...
Mathematical models for optimal decisions often require both nonlinear and discrete components. Thes...
A methodology to solve nonconvex constrained mixed-integer nonlinear programming (MINLP) problems i...
With widespread use of mixed-integer modeling for continuous and discontinuous nonlinear chemical pr...
AbstractThis paper is motivated by the fact that mixed integer nonlinear programming is an important...
A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlin...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
Mixed-integer nonlinear programming, MINLP, has played a crucial role in chemical process design via...