This paper is a comprehensive literature review of Biased Random-Key Genetic Algorithms
(BRKGA). BRKGA is a metaheuristic that employs random-key-based chromosomes with …

In the globalization process, postponement is still an effective strategy for enterprises to
reduce supply chain risks and uncertainties. The enterprises must additionally consider low …

The meta-heuristics is an effective way to solve the complex optimization problems.
However, the applicability of meta-heuristic is restricted in real applications due to the …

The optimization of power parameters is the key to the design of pure electric vehicles.
Reasonable matching of the relationship between various parameters can effectively reduce …

Determining the operation scenarios of renewable energies is important for power system
dispatching. This paper proposes a renewable scenario generation method based on the …

Uncertainty is an important subject in optimization problems due to the unpredictable nature
of real variables in the power system area, which can condition the solution's accuracy. The …

This work is devoted to the development of a multiparametric optimization module for a
digital management decision support tool based on simulation models. It is noted that the …

In this study, the authors propose a solutions map based on a telomere genetic algorithm
(TGA) to improve the efficiency of 4R-linkage synthesis. First, the points on the center curve …

The complex optimization problems have been investigated deeply by researchers in the
optimization community. The estimation of distribution algorithm (EDA) and the monarch …

View Video Presentation: https://doi. org/10.2514/6.2023-2578. vid A key part of resilience
analysis is identifying modes of failure which may affect system function. While there is an …