Advanced metaheuristic techniques for mechanical design problems
The design of complex mechanical components is a time-consuming process which involves
many design variables with multiple interacted objectives and constraints. Traditionally, the …
many design variables with multiple interacted objectives and constraints. Traditionally, the …
LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications
Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in developing optimization concerns. However, AHA has an imbalance …
performance in developing optimization concerns. However, AHA has an imbalance …
A machine learning-based surrogate model for optimization of truss structures with geometrically nonlinear behavior
Abstract Design optimization of geometrically nonlinear structures is well known as a
computationally expensive problem by using incremental-iterative solution techniques. To …
computationally expensive problem by using incremental-iterative solution techniques. To …
Optimization in civil engineering and metaheuristic algorithms: a review of state-of-the-art developments
The aim of this state-of-the-art review is to present the recent progress about the design
optimization and applications of metaheuristic algorithms in civil engineering. In this chapter …
optimization and applications of metaheuristic algorithms in civil engineering. In this chapter …
A two-step approach for damage detection in laminated composite structures using modal strain energy method and an improved differential evolution algorithm
The paper presents a two-step approach based on modal strain energy method and an
improved differential evolution algorithm for damage detection in laminated composite …
improved differential evolution algorithm for damage detection in laminated composite …
Kriging-assisted hybrid reliability design and optimization of offshore wind turbine support structure based on a portfolio allocation strategy
D Meng, H Yang, S Yang, Y Zhang, AMP De Jesus… - Ocean …, 2024 - Elsevier
In recent years, offshore wind power generation technology has developed rapidly around
the world, making important contributions to the further development of renewable energy …
the world, making important contributions to the further development of renewable energy …
Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization
This paper proposes an efficient reliability-based design optimization (RBDO) method that
advantageously decouples comprehensive learning particle swarm optimization (CLPSO) …
advantageously decouples comprehensive learning particle swarm optimization (CLPSO) …
An efficient algorithm for multi-objective structural optimization problems using an improved pbest-based differential evolution algorithm
Multi-objective optimization (MOO) for structural design is addressed. A new MOO algorithm,
named MOEA/D-EpDE, which combines the advantages of a recently developed pbest …
named MOEA/D-EpDE, which combines the advantages of a recently developed pbest …
An efficient multi-stage optimization approach for damage detection in plate structures
The paper presents an efficient multi-stage optimization approach for damage detection in
plate-like structures. In this approach, the damage identification process is achieved by …
plate-like structures. In this approach, the damage identification process is achieved by …
Reliability-based design optimization of nonlinear inelastic trusses using improved differential evolution algorithm
A robust method for sizing reliability-based design optimization (RBDO) of truss structures is
developed by integrating nonlinear inelastic analysis, a structural reliability analysis method …
developed by integrating nonlinear inelastic analysis, a structural reliability analysis method …