Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice
Acronym
ImAppNIO
Type
research
Duration
2016 - 2020
Content
Nature-inspired search and optimisation heuristics are easy to implement and apply to new problems. However, in order to achieve good performance it is usually necessary to adjust them to the problem at hand. Theoretical foundations for the understanding of such approaches have been built very successfully in the past 20 years but there is a huge disconnect between the theoretical basis and practical applications. The development of powerful analytical tools, significant insights in general limitations of different types of nature-inspired optimisation methods and the development of more practically relevant perspectives for theoretical analysis have brought impressive advances to the theory-side of the field. However, so far impact on the application-side has been limited and few people in the diverse potential application areas have benefitted from these advances. <br> The main objective of the COST Action is to bridge this gap and improve the applicability of all kinds of nature-inspired optimisation methods. It aims at making theoretical insights more accessible and practical by creating a platform where theoreticians and practitioners can meet and exchange insights, ideas and needs; by developing robust guidelines and practical support for application development based on theoretical insights; by developing theoretical frameworks driven by actual needs arising from practical applications; by training Early Career Investigators in a theory of nature-inspired optimisation methods that clearly aims at practical applications; by broadening participation in the ongoing research of how to develop and apply robust nature-inspired optimisation methods in different application areas.
Our role
We are mostly actively involved in the Working Group 2 - Practice-Driven Theory, which task is the tasked the development of novel practice-driven theoretical frameworks and paradigms. The starting point for WG2 are needs and unanswered questions as they arise when one applies nature-inspired search and optimisation heuristics to specific problems and the task is to use those to create theoretical perspectives, frameworks and novel results that directly address those needs and answer those questions. In addition, our department is active in the Management Committee of the action.
Funding
COST