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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).

Randomized controlled trials of effective, innovative interventions are needed to support evidence-based approaches for solving nutritional problems in this population.

The auxiliary optimization problem is solved using a downhill simplex method, whilst a gradient based approach is employed for solving the stochastic optimization problem.

Quadrature based approaches provide deterministic Eulerian methods for solving the joint-PDF transport equation.

For the aforementioned scenario, we propose a relay selection based approach as an approximation to solve for the power allocation problem.

A fuzzy based hybrid PSO approach for solving OPF problem considering the forecasting uncertainties of wind speed and load demand in power systems was proposed in [37].

The main purposes of this paper are (i) to propose an immune based two-phase approach for solving the optimal design of multiple-type surveillance camera problem, and (ii) to show the excellent performance of the proposed two-phase approach.

Conventional approaches for solving this vital issue are based on classical formulations of boundary value problems of elasticity.

There are different approaches for solving multiobjective optimization problems [23], [24], e.g., aggregating, population based non-Pareto and Pareto-based techniques.

The results also suggest that the B-spline based approach is an attractive method for solving large deformation structural boundary value problems.

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