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This work proposes a level-set based approach for solving risk-averse structural topology optimization problems considering random field loading and material uncertainty.
This paper proposes a new hybrid fuzzy multi-objective evolutionary algorithm (HFMOEA) based approach for solving complex multi-objective, mixed integer nonlinear problems such as optimal reactive power dispatch considering voltage stability (ORPD-VS).
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We present a fully grid-based approach for solving Hartree Fock and all-electron Kohn Sham equations based on low-rank approximation of three-dimensional electron orbitals.
We propose a simulation-based approach for solving the constrained dynamic mean variance portfolio management problem.
The lattice Boltzmann method is a microscopic-based approach for solving the fluid flow problems at the macroscopic scales.
In this paper, we present a characteristics-based approach for solving elastic wave problems with time-dependent traction boundary conditions.
This paper presents a new filter-based approach for solving FDI (Fault Detection and Isolation) problems in multivariable uncertain systems under feedback control.
[ Tripathiet al. (2005)] proposed a multi-agent-based approach for solving the part allocation problems in FMSs that can easily cope with the dynamic environment.
In case of the DG3PD model with the ALM-based approach for solving the constrained minimization, the error (f−u−v−ε) is significantly reduced and numerically the error tends to 0 as the number of iterations increases.
The auxiliary optimization problem is solved using a downhill simplex method, whilst a gradient based approach is employed for solving the stochastic optimization problem.
We develop a minimum set cover based metaheuristic based approach to solve this problem in a scalable manner.
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