Research and Application of a New Lion Swarm Algorithm

Abstract

Aiming at the defects of fast convergence speed of lion swarm algorithm and easy to fall into local optimum, a variable-speed elastic collision lion swarm algorithm (VELSO) is proposed. Firstly, the flexibility of lioness search is increased according to the variable spiral search strategy, and then the two lionesses learn the learning strategies of teaching and learning algorithms to enhance the interactive behavior of lioness hunting. Then, the improved refraction reverse learning strategy is used to increase the diversity of the population and make the individual quality of the population better. Finally, the variablespeed elastic collision strategy is used to increase the probability of the algorithm jumping out of the local optimum and improve the ability of the algorithm to obtain the optimal solution. In order to verify the effectiveness of the proposed algorithm, 16 test functions were used to test the proposed algorithm, and compared with other algorithms, which proved that the proposed algorithm is very effective. Finally, the proposed algorithm is applied to DV-Hop positioning, which verifies the feasibility and practicability of the proposed algorithm.

Privacy Preserving Image Encryption with Optimal Deep Transfer Learning Based Accident Severity Classification Model

“…To optimally select the keys for the MKHE technique, the LSO algorithm is exploited. The lion swarm race can be primarily classified into three classes for resolving the global optimization problems of the objective function using the LSO technique: Young Lion, Lion King, and Lioness [ 25 ]. They have dissimilar social behaviors.…”

Mini-Review of Unmanned Vehicle Route Planning Based on Ant Colony Algorithm

“…When selecting the optimal road, we can import the improved ant colony algorithm into the vehicle map, and exclude the road with too many traffic lights and too many courtesy pedestrians by combining the traffic condition information. In this way, we can exclude the road that is prone to congestion and the road that is too long according to the traffic condition during the initial selection At the same time, we can select one or two roads next to the optimal path according to this, and ensure that there are intersections between them and the optimal path, so that we can deal with emergencies in the optimal path [4][5][6].…”