in this paper a new method is proposed for path planning of planar manipulators amid obstacles through mathematical programming in a way that the robot’s links avoid collision with obstacles throughout their motion from an initial to a goal configuration. after inputting the workspace geometry, the shortest feasible path for the robot’s end-effector is planned toward its goal position using gen...

The optimal scheduling of crude-oil operation in refineries has been studied by various groups during the past decade, leading to different mixed integer linear programming or mixed nonlinear programming formulations. This paper proposes a new MINLP formulation with an oil residency time constraint and common pipeline transportation that is based on single-operation sequencing (SOS). An effecti...

Abstract : Two new methodologies for the global optimization of MINLP models, the Special structure Mixed Integer Nonlinear BB, SMIN– BB, and the General structure Mixed Integer Nonlinear BB, GMIN– BB, are presented. Their theoretical foundations provide guarantees that the global optimum solution of MINLPs involving twice–differentiable nonconvex functions in the continuous variables can be id...

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...

Nowadays, authorities of large cities in the world implement bus rapid transit (BRT) services to alleviate traffic problems caused by significant development urban areas. Therefore, a controller is required control and dispatche buses such BRT systems.. However, controllers are facing new challenges due inherent uncertainties passenger parameters as arrival times, demands, alighting fraction we...

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...

 liquefied natural gas (LNG) is the most economical way of transporting natural gas (NG) over long distances. Liquefaction of NG by using vapor compression refrigeration system requires high operating and capital cost. Due to lack of systematic design methods for multistage refrigeration cycles, the conventional approaches of determining optimal cycle configuration are mostly based on trial-an...

This paper investigates an order allocation problem of a manufacturer/buyer among multiple suppliers under the risks of supply disruption. A mixed integer non-linear programming (MINLP) model is developed for order allocation considering different capacity, failure probability and quantity discounts for each supplier. We have shown that the formulated problem is NP-hard in nature and genetic al...

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 ...

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...