Space mission planning and spacecraft design are tightly coupled need to be considered together for optimal performance; however, this integrated optimization problem results in a large-scale mixed-integer nonlinear programming (MINLP) problem, which is challenging solve. In response challenge, paper proposes new solution approach based on decomposition-based via augmented Lagrangian coordinati...

This paper focuses on minimizing the annual operative costs in monopolar DC distribution networks with inclusion of solar photovoltaic (PV) generators while considering a planning period 20 years. problem is formulated through mixed-integer nonlinear programming (MINLP) model, which binary variables define nodes where PV must be located, and continuous are related to power flow solution optimal...

This paper contributes with a new two-stage optimization methodology to solve the problem of optimal placement and sizing solar photovoltaic (PV) generation units in medium-voltage distribution networks. The is formulated mixed-integer nonlinear programming (MINLP) model, where it combines binary variables regarding nodes PV generators will be located continuous associated power flow solution. ...

Purpose – To discuss a new parallel algorithmic platform (minlp_machine) for complex mixed-integer non-linear programming (MINLP) problems. Design/methodology/approach – The platform combines features from classical non-linear optimization methodology with novel innovations in computational techniques. The system constructs discrete search zones around noninteger discrete-valued variables at lo...

Abstract We consider a nonconvex mixed-integer nonlinear programming (MINLP) model proposed by Goldberg et al. (Comput Optim Appl 58:523–541, 2014. 10.1007/s10589-014-9647-y ) for piecewise linear function fitting. show that this MINLP is incomplete and can result in curve not the graph of function, because it misses set necessary constraints. provide two counterexamples to illustrate effect, p...

This research studies the single-stage supply chain system operated under JIT technique. A kanban mechanism is employed to assist in linking the production processes in a supply chain system. The number of kanbans, batch size, and the number of batches are determined optimally. Based on this information, kanban operation between two adjacent plants can be worked out for controlling the supply c...

In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. HS is used for multiple objective planning, to evaluate the DG placement and sizing by considering the power losses and voltage profile as objective functions. HS is operated on 12bus, 15-bus and 33-bus radial distribution system(RDS). Obtained r...

Large-scale strongly nonlinear and nonconvex mixed-integer programming (MINLP) models frequently appear in optimization-based process synthesis, integration, intensification, control. However, they are usually difficult to solve by existing algorithms within acceptable time. In this study, we propose two robust homotopy continuation enhanced branch bound (HCBB) (denoted as HCBB-FP HCBB-RB) wher...

The optimal scheduling of crude-oil operations in refineries has been studied by various groups during the past decade leading to different mixed integer linear programming (MILP) or mixed integer nonlinear programming (MINLP) formulations. This paper presents a new continuous-time formulation, called single-operation sequencing (SOS) model, which can be used to solve the crude-oil operations p...

In this paper a discrete location model for non-essential service facilities planning is described, which seeks the number, location, and size of facilities, that maximizes the total expected demand attracted by the facilities. It is assumed that the demand for service is sensitive to the distance from facilities and to their size. It is also assumed that facilities must satisfy a threshold lev...