Feature selection is becoming a relevant problem within the field of machine learning. The
feature selection problem focuses on the selection of the small, necessary, and sufficient …

End-to-end obstacle avoidance path planning for intelligent vehicles has been a widely
studied topic. To resolve the typical issues of the solving algorithms, which are weak global …

In this work, an approach is proposed to solve binary combinatorial problems using
continuous metaheuristics. It focuses on the importance of binarization in the optimization …

Chaotic maps are sources of randomness formed by a set of rules and chaotic variables.
They have been incorporated into metaheuristics because they improve the balance of …

The transient electromagnetic (TEM) method is a non-contact technique used to identify
underground structures, commonly used in mineral resource exploration. However, the …

This study proposes a dynamic simulation-based framework that utilizes swarm intelligence
algorithms to optimize the design of hybrid assembly lines in the automotive industry. Two …

The structural design of civil works is closely tied to empirical knowledge and the design
professional's experience. Based on this, adequate designs are generated in terms of …

This study proposes a dynamic simulation-based framework that utilizes swarm intelligence
algorithms to optimize the design of hybrid assembly lines in the automotive industry. Two …

Анотація Об'єктом роботи є планування та оптимізація транспортних перевезень.
Метою роботи є підвищення ефективності системи планування та оптимізації …

Özet Küresel tedarik zincirinde optimizasyon, günümüzün rekabetçi ve hızla değişen iş
ortamında kritik bir stratejik öneme sahiptir. Bu süreç, malzeme, bilgi ve finansal akışların en …