«multi objective nonlinear model»
۱۶۳۹ نتیجهprobabilistic multi objective optimal reactive power dispatch considering load uncertainties using monte carlo simulations
optimal reactive power dispatch (orpd) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. due to the stochastic behavior of loads, the orpd requires a probabilistic mathematical model. in this paper, monte carlo simulation (mcs) is
Towards enhanced weight selection for (N)MPC via multi-objective optimisation
Having the possibility to systematically evaluate objectives of different nature at the same time is becoming crucial to operate processes, plants and production sites under more sustainable conditions. Most often, this multi-objective nature is tackled by combining all individua
A Multi-Objective Obnoxious Facility Location Modelon a Plane
In this paper a Vertex Covering Obnoxious Facility Location model on a Plane has been designed with a combination of three interacting criteria as follows: 1) Minimize the overall importance of the various existing facility points; 2) Maximize the minimum distance from the facili
Stochastic models and methods for multi-object tracking
The problem of multiple-object tracking consists in the recursive estimation of the state of several targets by using the information coming from an observation process. The objective of this thesis is to study the spatial branching processes and the measure-valued systems arisin
optimal resource allocation in urban transportation networks considering capacity reliability and connectivity reliability: a multi-objective approach
since the 1990’s, network reliability has been considered as a new index for evaluating transportation networks under uncertainty. a large number of studies have been revealed in the literature in this field, which are mostly dedicated to developing relevant measures that can be
Multi-Objective Optimization Methods Based on Artificial Neural Networks
During the last years, several optimization algorithms have been presented and widely investigated in literature, most of which based on deterministic or stochastic methods, in order to solve optimization problems with multiple objectives that conflict with each other. Some multi
The Quantitative Diversity Index in Multi-Objective Portfolio Model
The primary purpose of investors is maximizing the utility that is characterized by two essential criteria include risk and return. Regarding investors' uncertainty about the future, one of the main ways to reduce risk is to diversify the investment portfolio. In this research, w
Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models
The optimal reactive power dispatch (ORPD) is a very important problem aspect of power system planning and is a highly nonlinear, non-convex optimization problem because consist of both continuous and discrete control variables. Since the power system has inherent uncertainty, he
A Compromise Decision-Making Model Based on TOPSIS and VIKOR for Multi-Objective Large- Scale Nonlinear Programming Problems with A Block Angular Structure under Fuzzy Environment
This paper proposes a compromise model, based on a new method, to solve the multiobjectivelarge scale linear programming (MOLSLP) problems with block angular structureinvolving fuzzy parameters. The problem involves fuzzy parameters in the objectivefunctions and constraints. In t
A Multi-step Prediction Model Based on Interpolation and Adaptive Time Delay Neural Network for Time Series
The drawback of indirect multi-step-ahead prediction is error accumulation. In order to tackle this problem and improve the capacity of adaptive time delay neural network (ATNN) for prediction, a three-stage prediction model SATNN based on spline interpolation and ATNN is present