In order to complete automatic route planning in the complex navigation environment, this
paper proposes a quadratic optimization genetic algorithm combining the motion …

In developing countries, rural and semi-urban markets remain open for a particular period of
time in a day, and items' availabilities and prices vary within the opening hours of a market …

The aim of the study was to increase the speed, quantity and quality of solutions in intelligent
systems aimed at solving the problem of structural–parametric synthesis of models of large …

Deep Recurrent Neural Network (DRNN) is an effective deep learning method with a wide
variety of applications. Manually designing the architecture of a DRNN for any specific task …

Multi-agent systems (MAS) are a class of systems in which multiple agents interact with each
other and their environment to achieve a common or individual goal. Intelligentagent-based …

The carried-out analysis of the dynamics of a submarine body's translational motion affected
by an acoustic shock in the ideal medium provides for the possibility to evaluate the physical …

This paper presents a comparison of four algorithms and identifies the better one in terms of
convergence to the best performance for the locomotion of a quadruped robot designed …