Showing papers in "Applied Mathematical Modelling in 2018"

TL;DR: The improved GOA which combines three strategies to achieve a more suitable balance between exploitation and exploration was established and the proposed learning scheme can guarantee a more stable kernel extreme learning machine model with higher predictive performance compared to others.

TL;DR: In this paper, a coupled hydro-mechanical (HM) model is incorporated into the enriched NMM to simulate fluid driven fracturing in rocks, and several benchmark problems are investigated to verify the coupled HM model.

TL;DR: In this paper, a coupled nonlinear longitudinal-transverse-rotational set of equations governing the motion of axially functionally graded (AFG) shear deformable tapered beams subjected to external harmonic excitations is derived.

TL;DR: A novel metaheuristic algorithm called queuing search (QS), which is inspired from human activities in queuing, is presented, which is tested on 30 bound-constrained benchmark functions scalable with 30 and 100 dimensions from CEC 2014, 5 standard and 4 challenging constrained engineering optimization problems.

TL;DR: A trait effect is considered, which is characterized by the reduction of prey growth rate due to fear of predator, where the prey is already suffered by the mating induced strong Allee effects, in the reproduction process and shows bi-stability among different equilibria.

TL;DR: The proposed method formulates a global sparse model that involves three sparse terms by considering the intrinsic directional and structural knowledge of rain streaks, as well as the property of image background information, which guarantees the global optimal solution.

TL;DR: In this paper, a second-order reliability method for reliability analysis is presented using saddlepoint approximation, which is obtained by the secondorder Taylor series expansion at the most probable point.

TL;DR: This study investigates the performance of a new algorithm called Inspired grey wolf Optimizer which extends the original grey wolf optimizer by adding two features, namely, a nonlinear adjustment strategy of the control parameter, and a modified position-updating equation based on the personal historical best position and the global best position.

TL;DR: The results show that the proposed ℓ 0TDL method outperforms other competing methods, such as total variation (TV) minimization, TV with low rank (TV+LR), and TDL methods.

TL;DR: In this article, a conditional random field model of undrained shear strength is constructed using the field vane shear test data at a site of the west side highway in New York and the probability of slope failure is estimated by subset simulation.

TL;DR: In this paper, the free vibration analysis of functionally graded composite shell structures reinforced by carbon nanotubes has been studied and the effective material properties are determined via a micro-mechanical model using some efficiency parameters.

TL;DR: It is shown that the switched impulsive CNs (SICNs) can be synchronized by desynchronizing impulses even though CNs without impulse are unsynchronized.

TL;DR: The error analysis and model comparison results show that the VMD is more effective than other decomposition methods such as CEEMD and WD, moreover, adopting ARIMA models for prediction of low-frequency components can yield better results than predicting all components by SVR models.

TL;DR: The auxiliary model based orthogonal matching pursuit algorithm can simultaneously identify parameters and orders of the Hammerstein system, and has a high efficient identification performance.

TL;DR: In this article, the authors considered the coordination of a dual-channel supply chain under mandatory carbon emission capacity regulation and proposed online and offline price discount contracts to improve the performance of the decentralized system.

TL;DR: Results indicate that the presented iterative dimension-wise method has a superiority in uncertainty propagation problems of multidisciplinary issues.

TL;DR: This paper introduces a novel nonlinear multivariate grey model which is based on the kernel method, and named as the kernel-based GM(1, n), abbreviated as the KGM( 1, n).

TL;DR: The evolution of the system under this long-term price forecasting mechanism is studied and it is found that the higher adjustment parameters can make the system lose its stability, then appear period doubling bifurcation or wave shape chaos.

TL;DR: In this paper, a multi-objective discrete robust optimization (MODRO) algorithm for design of engineering structures involving uncertainties was proposed, where grey relational analysis (GRA) coupled with principal component analysis (PCA) was used as a multicriteria decision making model for converting multiple conflicting objectives into one unified cost function.

TL;DR: A generic mixed integer nonlinear programming model (MINLP) for reverse logistics network design is developed and the proposed hybrid genetic algorithm (GA) demonstrates the efficiency of solving the complex reverse logistics problem.

TL;DR: In this paper, a new mesh-free particle approximation method, decoupled FPM (DFPM), is developed, which is a corrective SPH method, and is flexible, cost-effective and easy in coding with better computational accuracy.

TL;DR: This paper evaluates system reliability performance based on a dependent two-stage failure process with competing failures, and shows that, with different parameter settings, the model reduces to several classic competing risk models.

TL;DR: A new learning function based on cross-validation is proposed as the guideline to adaptively select new training points at each iteration for reliability analysis, which is partly linked to the probability of failure.

TL;DR: In this paper, two iterative First Order Reliability Method (FORM) using steepest descent search direction may yield unstable solutions due to periodic nature and chaos for reliability analysis problems involving highly nonlinear performance functions.

TL;DR: In this article, the grey polynomial model is used to solve the problem that the original sequence is in accord with a more general trend rather than the special homogeneous or non-homogeneous trend.

TL;DR: In this article, a nonlinear mathematical model of a hydro-turbine governing system considering the nonlinear characteristic of penstock head loss is introduced and the concept of critical stable sectional area of surge tank for primary frequency regulation is proposed and the analytical solution is derived.

TL;DR: In this article, a water-biomass model with soil-water diffusion feedback is presented to reveal a mechanism of positive feedbacks on pattern formation, and the relationship among feedback intensity, rainfall and pattern dynamics of the vegetation is highlighted.

TL;DR: A robust optimization model for designing a bi-objective multi-period supply chain network of blood in a disaster in three echelons, namely supply, processing, and distribution is presented.

TL;DR: In this paper, the authors considered the finite-time dissipative control problem for singular discrete-time Markovian jumping systems with actuator saturation and partly unknown transition rates, by constructing a proper Lyapunov-Krasonski functional and the method of linear matrix inequalities (LMIs).

TL;DR: A logic self-map chaos and Levy flight Vortex Search (I-VS) algorithm is proposed for boiler combustion optimization and experimental results show that the I-VS-FLN model has better generalization ability than five other models.