Automated Design of Metaheuristic Algorithms: A Survey

arXiv:2303.06532v3 Announce Type: replace-cross
Abstract: Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution representation, solution quality evaluation, and certain notions of locality. Manually designing metaheuristic algorithms for solving a target problem is criticized for being laborious, error-prone, and requiring intensive specialized knowledge. This gives rise to increasing interest in automated design of metaheuristic algorithms. With computing power to fully explore potential design choices, the automated design …

abstract academia algorithms arxiv automated cs.lg cs.ne design designing error evaluation logic metaheuristics practice quality representation search solution success survey type