Welcome to the Institute of Applied Optimization (IAO) [应用优化研究所] of the School of Artificial Intelligence and Big Data [人工智能与大数据学院] of Hefei University [合肥大学]. Founded in December 2016, we are pursuing to become a strong research group in the field of applied mathematical and combinatorial optimization, operations research, Computational Intelligence, machine learning, metaheuristics, and evolutionary computation.
We organize many international scientific events, including the BOCIA'18, BB-DOB@GECCO'18, BB-DOB@PPSN'18, BB-DOB@GECCO'19, BENCHMARK@GECCO'20, BENCHMARK@PPSN'20, BOCIA'21 @ CEC'21, AABOH'21@GECCO'21, and BENCHMARKING'21@GECCO'21 workshops and the Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing journal (published 2020).
You may want to check out our software package moptipy, which provides implementations of metaheuristic optimization algorithms in Python together with an experimentation and evaluation platform. Our free online book "Optimization Algorithms" offers an introduction into various metaheuristics (all of which are implemented in moptipy) in a very practice-grounded fashion based on in-depth discussions and experimental results. It is written using our package bookbuilderpy, which allows for writing complete multi-language books in Markdown and including source code examples from GitHub repositories.
The rise of vast computing power and data storage capacity together with the ubiquitous availability of the internet has brought us to the dawn of a new era, which leaves no aspect of industry, business, services, logistics, or even basic infrastructure unchanged. An enterprise must seek to take advantage of these new resources in order to stay ahead of the market, to become more efficient, to reduce its costs, and to increase its speed. Computational Intelligence conquers tasks which were previously pure human domains, ranging from driving vehicles, playing Go, to the automated planning of intermodal logistics tasks involving hundreds of trucks, trains, and ships and to the scheduling of the production of complete multi-production line factories.
Optimization and operations research are technologies which can be applied to increase the efficiency of virtually every single aspect of a company's operation. They can be used to improve the design of products and their robustness and quality. They can be used to reduce waste. They can be used to improve the scheduling of staff, work shifts, or the utilization of machines. They can improve the floor plan of workshops. They can be used for improving stockkeeping. They can improve virtually all aspects of logistics and even whole supply chains. And they can be combined with models obtained via Machine Learning and Data Mining to better plan ahead.
This is what we want to do: We want cooperate with partners from academia and different industries. We contribute both fundamental research on optimization as well as develop robust and reliable tailor-made software solutions. Our research aims to help to increase production efficiency and speed, to reduce costs and resource consumption, and to even improve the quality of products. We further believe that optimization is one of the key technologies for making concepts such as Industry 4.0 and Made in China 2025 [中国制造2025] successful, as it can enable both intelligent, automatic control of networked manufacturing and management processes as well as a greener production.