The peer review process is essential to the success of science, but it also delays publications and absorbs considerable effort. Journals find it increasingly difficult to recruit competent reviewers. This study presents the results of agent-based simulation that models the current peer review process. We compared it to the simulation of a new peer review process that uses the Deferred Acceptance Algorithm (DAA) to match papers to journals. The matches are just as good while dramatically reducing the required number of reviews and delays. The results show that it is possible for the scientific community to significantly optimise the peer review process.

翻译：同行评审流程对科学研究的成功至关重要，但也导致出版延迟并耗费大量精力。期刊发现越来越难以招募到合格的审稿人。本研究通过基于智能体的模拟呈现了当前同行评审流程的建模结果。我们将其与采用延迟接受算法匹配论文与期刊的新型同行评审流程模拟进行了比较。在保持匹配质量相当的同时，新流程显著减少了所需评审数量和延迟时间。结果表明，科学界有可能对同行评审流程进行显著优化。