Title: DART algorithm for constrained optimisation with applications in suspension design
Authors: Syeda Darakhshan Jabeen; Rathindra Nath Mukherjee; Jyotirmoy Saha
Addresses: Department of Mathematics, Birla Institute of Technology Mesra, Ranchi, 835215, India ' Department of Mathematics, Burdwan University, Burdwan, 713104, India ' Department of Production Engineering, Jadavpur University, Kolkata, 700032, India
Abstract: We propose a new hybrid algorithm with application of suspension designs problem. The algorithm is based on divide-and-rule technique (DART) governed by artificial bee colony (ABC) algorithm. A divide phase splits the search region into subregions of smaller size and a ruling phase allows bees to rule over the selected subregion and look for a new region with best food source. The DART process is recursively applied to discover higher fitness subregion producing the optimal solution to the problem. Moreover, a new search strategy has been implemented to bias the bees towards feasible solution. A suspension problem has been formulated as a nonlinear constrained optimisation problem where the weighted sum of sprung mass jerks and their deflections are minimised under technological constraints. By the proposed algorithm the optimal passive suspension parameters have been obtained from the half car model to minimise the level of vibration and enhance passengers comfort. Moreover, the results obtained by model simulations with existing and optimised suspension parameters are compared.
Keywords: suspension; half car; optimisation; bee colony algorithm; ISO 2631 standards.
International Journal of Heavy Vehicle Systems, 2019 Vol.26 No.2, pp.136 - 157
Received: 19 May 2017
Accepted: 15 Mar 2018
Published online: 11 Mar 2019 *