Simulation optimization: a review of algorithms and applications
Simulation optimization (SO) refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …
constraints, both of which can be evaluated through a stochastic simulation. To address …
Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
Refrigeration systems currently utilize 17% of total electric energy, and this consumption is
expected to increase by more than 30% by 2050. Moreover, these systems significantly …
expected to increase by more than 30% by 2050. Moreover, these systems significantly …
Derivative-free optimization methods
In many optimization problems arising from scientific, engineering and artificial intelligence
applications, objective and constraint functions are available only as the output of a black …
applications, objective and constraint functions are available only as the output of a black …
Optimal experimental design: Formulations and computations
Questions of 'how best to acquire data'are essential to modelling and prediction in the
natural and social sciences, engineering applications, and beyond. Optimal experimental …
natural and social sciences, engineering applications, and beyond. Optimal experimental …
Optimum design of real-size reinforced concrete bridge via charged system search algorithm trained by nelder-mead simplex
S Shirgir, S Farahmand-Tabar, P Aghabeigi - Expert systems with …, 2024 - Elsevier
In this paper, an optimization method based on the combination of Nelder-Mead (NM)
simplex concepts and charged system search algorithm (CSS) is proposed and called NM …
simplex concepts and charged system search algorithm (CSS) is proposed and called NM …
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Short-term wind power prediction is challenging due to the chaotic characteristics of wind
speed. Since, for wind power industries, designing an accurate and reliable wind power …
speed. Since, for wind power industries, designing an accurate and reliable wind power …
Wave power forecasting using an effective decomposition-based convolutional Bi-directional model with equilibrium Nelder-Mead optimiser
Energy industries and governments consider ocean wave power a promising renewable
energy source for reaching the net-zero plan by 2050 and restricting the rise in global …
energy source for reaching the net-zero plan by 2050 and restricting the rise in global …
[图书][B] Modelling and simulation
LG Birta, G Arbez - 2013 - Springer
Modelling and simulation is a tool that provides support for the planning, design and
evaluation of dynamic systems as well as the evaluation of strategies for system …
evaluation of dynamic systems as well as the evaluation of strategies for system …
Simulation optimization for stochastic casualty collection point location and resource allocation problem in a mass casualty incident
After a severe disaster strikes, a large number of casualties in need of urgent treatment,
known as a mass casualty incident (MCI) event, arise from multiple disaster areas in a very …
known as a mass casualty incident (MCI) event, arise from multiple disaster areas in a very …
Simulation optimization: a review of algorithms and applications
Simulation optimization refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …
constraints, both of which can be evaluated through a stochastic simulation. To address …