Directed Artificial Bat Algorithm (DABA) - A new bio-inspired algorithm

Bio-inspired artificial algorithms topic is a relatively modern part of metaheuristic track in artificial intelligence field. All these algorithms are inspired from natural biological animals´ behaviors like ants, bees, and others. The importance of these algorithms is increased by time due to the complex scientific applications, and other optimization problems demand. In this paper, we introduce a new innovative algorithm. It is titled as “Directed Artificial Bat Algorithm” (DABA) which is inspired from bats´ echo system and how they use it in prey finding. Previous initial contributions related to bat behaviors are mentioned in this paper, but they are truly abstract trials. That is why the comparisons are done versus artificial bee colony algorithm due to its maturity. According to the comparisons, proposed DABA achieves better results than ABC with efficiency enhancements between 5% and 10%.