走向"大"的代谢主义 (Towards Metaheuristics "In the Large")

Jerry Swan,Steven Adraensen,Alexander E. I. Brownlee,Colin G. Johnson,Ahmed Kheiri,Faustyna Krawiec,J. J. Merelo,Leandro L. Minku,Ender Özcan,Gisele L. Pappa,Pablo García-Sánchez,Kenneth Sörensen,Stefan Voß,Markus Wagner,David R. White

Following decades of sustained improvement, metaheuristics are one of the great success stories of optimization research. However, in order for research in metaheuristics to avoid fragmentation and a lack of reproducibility, there is a pressing need for stronger scientific and computational infrastructure to support the development, analysis and comparison of new approaches. We argue that, via principled choice of infrastructure support, the field can pursue a higher level of scientific enquiry. We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.

翻译：在经过几十年的持续改进之后,计量经济学是优化研究的伟大成功事例之一,然而,为避免分散和缺乏再生能力而进行计量经济学研究,迫切需要加强科学和计算基础设施,以支持新办法的开发、分析和比较。我们认为,通过有原则地选择基础设施支助,实地可以进行更高水平的科学调查。我们描述了我们的愿景并报告了进展情况,表明为所有计量经济学人采用共同规程如何有助于释放该领域的潜力,缓解对计量经济学设计空间的探索。