Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve maximum power output minimum wind cost. This may be accomplished by applying single or multi-objective techniques. this paper, we apply objective hill-climbing algorithm (HCA) three evolutionary algorithms (NSGA-II, SPEA2 PESA-II) well-known bench...

Benchmarking is essential for testing new numerical analysis codes. Their solution crucial both the partial differential equation solvers and optimization methods. Especially, nature-inspired algorithm-based solvers, where an important study to use benchmark functions test how algorithm may perform, in comparison with other algorithms or fine-tune optimizer parameters. This paper proposes a nov...

Многокритериальное нелинейное программирование относится к разделу математического программирования, который включает оптимизацию нескольких целевых функций одновременно. На самом деле многие практические проблемы требуют оптимизации сразу несколько функций. Однако, как правило, лица, принимающие решения, фокусируют свое внимание на цели, которую они считают наиболее оптимальной. В этой статье ...

The multi-objective multi-armed bandit (MOMAB) problem is a sequential decision process with stochastic rewards. Each arm generates a vector of rewards instead of a single scalar reward. Moreover, these multiple rewards might be conflicting. The MOMAB-problem has a set of Pareto optimal arms and an agent’s goal is not only to find that set but also to play evenly or fairly the arms in that set....

In this study, tactical decisions considering the material and financial flows in a supply chain have been made. To achieve these aims and some effective solutions, a multi-objective mathematical model proposed for an integrated supply chain master planning problem. The multi-product, multi-period and capacitated supply chain network has three objective functions. Two first objective functions ...