A Multi-Strategy Enhanced Chernobyl Disaster Optimizer for Global Optimization and Engineering Design Problems

Chernobyl disaster optimization (CDO) algorithm is a recently proposed meta-heuristic algorithm inspired by the core explosion of the chernobyl nuclear reactor. CDO has the advantages of novel concepts, simple parameters and fast convergence. However, it also has drawbacks, such as the loss of population diversity at the end of iterations and the tendency to fall into local optimum. To improve the performance of CDO algorithm, we adopt a multi-strategy improvement method, including novel radial propagation factor and position update formulas, chaotic elite opposition-based learning, and a new method based on dimensional search. Based on the above methods, we propose a multi-strategy enhanced chernobyl disaster optimization algorithm (ECDO) to obtain better results. ECDO is evaluated on CEC2022 test suite. The results show that ECDO performs well comparing with other algorithms. In addition, two real-world engineering design problems are solved using ECDO. Experimental results and statistical tests prove the effectiveness of the proposed algorithm.