This project is part of the paper [Jin, B. (2021). Multi-objective A* algorithm for the multimodal multi-objective path planning optimization. In 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 1704–1711].

This paper won the Competition on Multimodal Multiobjective Path Planning Optimization at the 2021 IEEE Congress on Evolutionary Computation (CEC).

This project is written in C++ 17.

Usage:

• ./solve: solve the test problems
• ./solve <problem_file> <objective_list>: solve a problem with specified objectives (min_path_len, min_num_red, min_num_cross, min_f)

Third-party libraries:

• nlohmann/json 3.9.1
• alandefreitas/pareto 1.2.0

Cited by:

• Yao, X., Li, W., Pan, X., & Wang, R. (2022). Multimodal multi-objective evolutionary algorithm for multiple path planning. Computers & Industrial Engineering, 169, 108145.