Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
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 …
not been investigated in the literatures comparing with single-objective RBDO. This work …
Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability
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 …
applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines …
Multi-AGV scheduling for conflict-free path planning in automated container terminals
M Zhong, Y Yang, Y Dessouky, O Postolache - Computers & Industrial …, 2020 - Elsevier
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 …
design of any automated container terminal. There has been relatively little research …
MPSO: Modified particle swarm optimization and its applications
D Tian, Z Shi - Swarm and evolutionary computation, 2018 - Elsevier
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 …
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 based on combined optimization strategy
Y Liu, S Chen, B Guan, P Xu - Neurocomputing, 2019 - Elsevier
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 …
the field of system optimization. It involves a large number of network nodes, coupled …
An estimation of distribution algorithm for mixed-variable newsvendor problems
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 …
make maximal profit by determining the optimal order quantity of products. However, the …
A penalty guided stochastic fractal search approach for system reliability optimization
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 …
we address the system reliability optimization problem. A penalty guided stochastic fractal …
An MINLP model for optimal sandwich pipe design based on structural and thermal criteria
G Fu, J Yang, MI Lourenço, SF Estefen - Ocean Engineering, 2024 - Elsevier
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 …
decade of research has validated its commendable structural strength, superior thermal …
An efficient two-stage water cycle algorithm for complex reliability-based design optimization problems
The reliability-based design optimization (RBDO) problem considers the necessary
uncertainty of measurements within the scope of planning to minimize the design objective …
uncertainty of measurements within the scope of planning to minimize the design objective …
Fitness peak clustering based dynamic multi-swarm particle swarm optimization with enhanced learning strategy
X Tao, W Guo, X Li, Q He, R Liu, J Zou - Expert Systems with Applications, 2022 - Elsevier
Abstract Particle Swarm Optimization (PSO) is a well-known swarm intelligence algorithm
and its performance primarily depends on the tradeoff between exploration and exploitation …
and its performance primarily depends on the tradeoff between exploration and exploitation …