BACTERIA COLONY APPROACHES WITH VARIABLE VELOCITY APPLIED TO PATH OPTIMIZATION OF MOBILE ROBOTS
Santos Coelho, Pontifical Catholic, Cezar Augusto Sierakowski · 2005
During the course of evolution, colonies of ants, bees, wasps, bacteria and termites have developed sophisticated behavior, intricate communication capabilities, decentralized colony control, group foraging strategies and a high degree of worker cooperation when tackling tasks. Utilizing these capabilities, any bio-inspired optimization techniques using analogy of swarming principles and social behavior in nature swarm intelligence have been adopted to solve a variety of engineering and mobile robotics problems.In this paper, new approaches of bacteria colony optimization method with variable velocity based on uniform, Gauss and Cauchy distributions were tested. Bacteria colony, a swarm intelligence methodology, is evaluated for a path planning problem in static environment of mobile robotics. The simulation results are compared with classical bacteria colony approach and genetic algorithms.