New proposed implementation of ABC Method to Optimization of Water Capsule Flight

Abstract

Abstract-The physical model of Water Capsule Flight is relatively simple but analytically unsolvable. The input data includes the mass of the capsule, velocity, altitude, aerodynamic coefficients of the capsule, and horizontal and vertical winds. The ABC optimization is focused on those attributes. This article is a part of the series dedicated to Inspired by Nature Methods of AI and their implementation in the mechatronic systems. A bag filled with water is an excellent source of explosion-produced water spray which can be used for extinguishing large fires or for other purposes. The paper presents theoretical models of flight of a bag filled with water, dropped from an aircraft moving horizontally. Results of numerical computations based on this model are compared with results of measurements for the trajectory of a bag dropped from a helicopter. A description of the experimental and numerical setup for this experiment are also discussed.

A Cellular Automata-Based Simulation Tool for Real Fire Accident Prevention

“…Other examples of cellular automata implementations include image processing, generation of textures, simulation of waves, wind, and people evacuation process as well as a simulation program, developed for the purpose of this study [19][20][21][22][23]. The aim of the proposed algorithm is to generate the simulations of patterns of human escape from the building on fire with a given number of exits and fire sources [24][25][26][27].…”

“…There is a part of the neighborhood that is closer to the exit, and the other part closer to the group of cells in the human state [20,48]. Thus, there are two possible sets of movements for this cell in question, depending on the determinant [27,49,50]. Since each of the sets is a fourelement, then the notation of fuzzy numbers called ordered fuzzy numbers introduced by Kosiń ski is suitable for its description [51,52].…”

A New OFNBee Method as an Example of Fuzzy Observance Applied for ABC Optimization

“…As with other algorithms described herein [12,13,26,28,29,32,33], ABC is also based on the swarm behavior of honey bees. It differs from other algorithms in the application of a higher number of bee types in a swarm [10]. After the initialization phase, the algorithm consists of the following four stages repeated iteratively until the number of repetitions specified by the user is executed [4,[18][19][20] ( Fig .…”

OFNAnt Method Based on TSP Ant Colony Optimization

“…ACO was presented as the algorithm that can find a good route using a graph. It was inspired by foraging theory [14] both for ant colonies and for discrete optimization problems. This algorithm is designed for solving two kinds of static and dynamic optimization problems.…”

“…Particle swarm optimization was created thanks to studies on, among others, sandblasting of a car body or other corroded metal parts. Hence, generally, this branch of AI has been called swarm intelligence [11,14,25,38]. Conversion of those intelligence mechanisms prevailing among simple individuals into the field of computer systems resulted in creation of the current sometimes called computational swarm intelligence.…”