Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …
a wide variety of phenomena with applications to many disciplines, ranging from condensed …
A possibilistic mean-semivariance-entropy model for multi-period portfolio selection with transaction costs
WG Zhang, YJ Liu, WJ Xu - European Journal of Operational Research, 2012 - Elsevier
This paper deals with a multi-period portfolio selection problem with fuzzy returns. A
possibilistic mean-semivariance-entropy model for multi-period portfolio selection is …
possibilistic mean-semivariance-entropy model for multi-period portfolio selection is …
Hybrid metaheuristics based on evolutionary algorithms and simulated annealing: taxonomy, comparison, and synergy test
The design of hybrid metaheuristics with ideas taken from the simulated annealing and
evolutionary algorithms fields is a fruitful research line. In this paper, we first present an …
evolutionary algorithms fields is a fruitful research line. In this paper, we first present an …
Nonlinear rotational inertial double-tuned mass damper for reducing human-induced floor vibration with frequency detuning
P Wang, J Chen - Mechanical Systems and Signal Processing, 2022 - Elsevier
This study proposes a novel nonlinear rotational inertial double-tuned mass damper
(NRIDTMD), which introduces a cubic stiffness element into the inerter-based passive …
(NRIDTMD), which introduces a cubic stiffness element into the inerter-based passive …
Application of proposed hybrid active genetic algorithm for optimization of traveling salesman problem
In the technological development era, the solution to various complex problems is uncertain,
and more attention should be paid for changing certain conditions. Therefore, a precise …
and more attention should be paid for changing certain conditions. Therefore, a precise …
Bearing parameter identification of rotor-bearing system based on Kriging surrogate model and evolutionary algorithm
F Han, X Guo, H Gao - Journal of Sound and Vibration, 2013 - Elsevier
Bearing dynamic parameters are important factors governing the vibration characteristics of
rotating machinery, but they are usually unknown in the modeling. In this paper, an effective …
rotating machinery, but they are usually unknown in the modeling. In this paper, an effective …
Parallel simulated annealing using an adaptive resampling interval
This paper presents a parallel simulated annealing algorithm that is able to achieve 90%
parallel efficiency in iteration on up to 192 processors and up to 40% parallel efficiency in …
parallel efficiency in iteration on up to 192 processors and up to 40% parallel efficiency in …
[PDF][PDF] Efficient computational strategies for solving global optimization problems
Many problems in physics, chemistry, engineering, geoscience, biology, pharmocology, and
computer science involve determining the true minimum of a function of a large number of …
computer science involve determining the true minimum of a function of a large number of …
[BOOK][B] Design reuse in product development modeling, analysis and optimization
SK Ong - 2008 - books.google.com
Efficient management of product information is vital for manufacturing enterprises in this
information age. Considering the proliferation of product information, tight production …
information age. Considering the proliferation of product information, tight production …
[PDF][PDF] An improved adaptive genetic algorithm for the multi-depot vehicle routing problem with time window
CY Liu - Journal of Networks, 2013 - Citeseer
In order to improve the efficiency of vehicle objective, the paper addresses the problem of
multi-depot vehicle routing with time window. An adaptive genetic algorithm based on the …
multi-depot vehicle routing with time window. An adaptive genetic algorithm based on the …