Constrained multiobjective optimization problems (CMOPs) are commonly found in real-world applications. CMOP is a complex problem that needs to satisfy a set of equality or inequality constraints. This paper proposes a variant of the bidirectional coevolution algorithm (BiCo) with differential evolution (DE). The novelties in the model include the DE differential mutation and crossover operators as the main search engine and a non-dominated sorting selection scheme. Experimental results on two benchmark test suites and eight real-world CMOPs suggested that the proposed model reached better overall performance than the original model.
@article{arxiv.2410.19439,
title = {Non-Dominated Sorting Bidirectional Differential Coevolution},
author = {Cicero S. R. Mendes and Aluizio F. R. Araújo and Lucas R. C. Farias},
journal= {arXiv preprint arXiv:2410.19439},
year = {2024}
}