Integrated gasification combined cycle (IGCC) technology is becoming increasingly more competitive among advanced power generation systems suitable for carbon capture. As an emerging technology, many different IGCC process configurations have been heuristically proposed to meet even more aggressive economic and environmental goals. One attractive design combines gasification with a water–gas sh...

The increase in the use of electrical and electronic devices worldwide has created a rapid growth waste equipment (WEEE). current paper presents an optimization-based simulation (OBS) approach that allows design sustainable WEEE management system policies. proposed OBS integrates dynamics (SD) model mixed-integer nonlinear programming (MINLP) to improve representation performance processes cons...

This paper presents a novel approach to tackle the problem of optimal neutral wire grounding in bipolar DC networks including asymmetric loading, which naturally involves mixed-integer nonlinear programming (MINLP) and is challenging solve. MINLP model transformed into recursive quadratic (MIQ) by linearizing hyperbolic relation between voltage powers constant power terminals. A algorithm imple...

The objective of this contribution is to propose a multilevel-hierarchical approach to the MINLP synthesis of process flowsheets. Following a hierarchical strategy, the designer can postulate the superstructure at different levels of representation of flowsheet alternatives and model it at the corresponding level of aggregation and complexity. By the use of the prcscrcening procedure the supers...

This paper addresses the problem of integrating in a single model operational optimization and cyclic scheduling of continuous plants. Considered are multiproduct, multistage plants with finite intermediate storage capacity (FIS). A combined optimization approach introduces synergic effects for more effective scheduling and plant operation (Alle and Pinto, 2001a,b). The representation proposed ...

Mixed-Integer Non-Linear Programming (MINLP) is not rare in real-world applications such as portfolio investment. It has brought great challenges to optimization methods due the complicated search space that both continuous and discrete variables. This paper considers multi-objective constrained problems can be formulated MINLP problems. Since each variable dependent a variable, we propose Comp...

The problem of optimal siting and dimensioning photovoltaic (PV) generators in medium-voltage distribution networks is addressed this research from the perspective combinatorial optimization. exact mixed-integer programming (MINLP) model solved using a master–slave (MS) optimization approach. In master stage, generalized normal (GNDO) with discrete–continuous codification used to represent loca...

We present a method, based on formulation symmetry, for generating Mixed-Integer Linear Programming (MILP) relaxations with fewer variables than the original symmetric MILP. Our technique also extends to convex MINLP, and some nonconvex MINLP with a special structure. We showcase the effectiveness of our relaxation when embedded in a decomposition method applied to two important applications (m...

In this paper some high-performance mixed integer non-linear programming (MINLP) solvers in GAMS (General Algebraic Modeling System) are evaluated. AlphaECP, Baron, Dicopt and SBB are the MINLP (mixed integer non-linear programming) solvers in focus. A large test set with 250 problems is used and special attention is given to a new GAMS solver, GAMS/AlphaECP, which has recently been included in...