An Improved Pity Beetle Algorithm for Solving Constrained Engineering Design Problems

Yu Peng and Xianjun Du
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Yu Peng: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Xianjun Du: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Mathematics, 2022, vol. 10, issue 13, 1-38

Abstract: To cope with increasingly complex models of engineering design problems and to obtain more accurate design solutions, this paper proposed an improved population-based, bio-inspired optimization algorithm, called the pity beetle algorithm based on pheromone dispersion model (PBA-PDM). PBA-PDM enables a local and global search for optimization problems through the pheromone release mechanisms in female beetles and the interaction relationship between male beetles. The experimental results compared with other state-of-the-art metaheuristic optimization algorithms show that PBA-PDM has an ideal performance when dealing with both classical test functions and CEC2017 benchmark test functions. Then, the PBA-PDM is applied in dealing with real-world constrained engineering design problems to verify the effectiveness and applicability. The above experimental results show that the PBA-PDM proposed in this paper is an effective and efficient algorithm for solving real-world optimization problems.

Keywords: pity beetle algorithm (PBA); pheromone dispersion model (PDM); metaheuristic algorithm; engineering optimization problems; continuous optimization problems (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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