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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

In recent years, Li-ion batteries are widely used in various applications, such as electric and
hybrid vehicles application. Their higher specific power and energy density, high cycle …