Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …

In this paper, a hybrid genetic algorithm with particle swarm optimization (GA-PSO) is
applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines …

Path planning and integrated scheduling are two important problems to be resolved in the
design of any automated container terminal. There has been relatively little research …

Particle swarm optimization (PSO) is a population based meta-heuristic search algorithm
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …

Layout optimization of large-scale oil–gas gathering system is a kind of NP-hard problem in
the field of system optimization. It involves a large number of network nodes, coupled …

As one of the classical problems in the economic market, the newsvendor problem aims to
make maximal profit by determining the optimal order quantity of products. However, the …

Modern industry requires components and systems with high reliability levels. In this paper,
we address the system reliability optimization problem. A penalty guided stochastic fractal …

Sandwich pipe (SP) can be a promising solution in ultra-deepwater applications. Over a
decade of research has validated its commendable structural strength, superior thermal …

The reliability-based design optimization (RBDO) problem considers the necessary
uncertainty of measurements within the scope of planning to minimize the design objective …

Abstract Particle Swarm Optimization (PSO) is a well-known swarm intelligence algorithm
and its performance primarily depends on the tradeoff between exploration and exploitation …