Modified swarm algorithm «ant tree» in the problem of diversification of tractor resources spaces

Abstract

Abstract In this work, the problem of increasing traceability is solved by diversifying trace resources, which consists in using additional areas adjacent to the channels below and above, with a trace layer located above the “over-the-cell” cells. For a single-layer routing uses a new paradigm of combinatorial optimization – ant tree (trees ant colony optimization (T-ACO)), based on the ideas of adaptive behavior of ant colony. The decision tree is used as a decision search graph. An agent for the decision search graph does not create a route, but a tree, which in its structure coincides with the representation of the solution to the trace problem in the «over-the-cell» region. This eliminates the use of additional transformations in the decoding process of decisions that allow interpretation of decisions in the form of trees and allows you to discard a lot of «illegal» solutions, which leads to an increase in the quality of the solutions obtained. Using the tracing procedure in «over-the-cell» based on the ant algorithm allows you to unload the channel by 15-20%. The time complexity of the algorithm depends on the number of vertices n of the decision search graph, the number of agents y, the number of iterations l, and is defined as O (n2·l·y).