A hybrid improved BRO algorithm and its application in inverse kinematics of 7R 6DOF robot

Abstract

To advance the calculation performance of the battle royale optimization algorithm (BRO), a hybrid improved BRO algorithm (HBC) is proposed in this paper. The level mechanism of the chicken swarm optimization algorithm (CSO) is integrated into the BRO algorithm to divide all into elite players and ordinary players, and the level relationship of different players is established. Then, an elite player update method of random exploring and directional update in a small range is proposed to improve the development ability. The update method of ordinary players improved, the update mechanism of elite random guidance is introduced to make full use of the excellent location information in the population. The performance verification experiment of the HBC algorithm is carried out on 20 benchmark functions and a practical project. Comparing with several other algorithms, the computational performance of the HBC algorithm is the best. Furthermore, the HBC algorithm is applied to solve the inverse kinematics of the 7R 6DOF robot. The experimental results show that the HBC algorithm effectively improves the average convergence accuracy and reduces the running time, compared with the BRO algorithm. This fully shows that the HBC algorithm is more competitive in stability, calculation accuracy, and speed.

Application of Improved DEA Algorithm in Public Management Problem Classification

“…With the continuous deepening and development of public management in China, some major contradictions and problems begin to appear [ 1 ]. Such problems as insufficient practical operation means, insufficient governance ability, poor organizational personnel quality, and public management personnel training have seriously affected the improvement of the quality of public management [ 2 – 4 ]. This study is based on these issues, through the integration of Improved DEA algorithm to further improve the public management evaluation system.…”

Developed Design of Battle Royale Optimizer for the Optimum Identification of Solid Oxide Fuel Cell

“…Players must explore tools to stay in the game in a smaller playing area [33]. In some kinds of Battle Royale games, such as Counter-strike: Global Offensive, Ring of Elysium, Apex Legends, Player Unknown's Battlegrounds (PUBG), and Call of Duty: Warzone, players are given the opportunity to rejuvenate; this feature is used in the proposed algorithm, and sometimes players are rewarded for staying in the game [34]. In the end, only one team or one player wins.…”

Battle royale optimizer for multi-level image thresholding

“…It is a short time has passed since the presentation of this algorithm. BRO has received much attention, so its binary version is presented to solve discrete problems [58,59] and also succeed in solving several problems such as inverse kinematics of 7R 6DOF robot [60], and to training multi-layer perceptron [61]. This paper uses two well-known (Kapur's entropy) and Otsu's thresholding methods as objective functions.…”