Welcome to the Institute of Applied Optimization (IAO) [应用优化研究所] of the Faculty of Computer Science and Technology [计算机科学与技术系] of the Hefei University [合肥学院]. 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 jointly organize the Black-Box Discrete Optimization Benchmarking (BB-DOB@PPSN) Workshop at the Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV), September 8-9, 2018, Coimbra, Portugal: CfP.

We jointly organize the Black-Box Discrete Optimization Benchmarking (BB-DOB@GECCO) Workshop at the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), July 15-19, 2018, Kyoto, Japan: CfP.

We announce the Special Issue on Benchmarking of Computational Intelligence Algorithms in the Computational Intelligence journal by Wiley Periodicals Inc., indexed by EI and SCI, which is open for general submissions until May 5, 2018, and will invite selected extended papers from the BOCIA workshop as well.

We jointly organize the International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018) on March 29-31, 2018 in Xiamen [厦门], Fujian [福建省], China.

Mission Statement

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 to cooperate with partners from different industries. Together with them, we identify the aspects of their operation that can be improved. We develop robust and reliable tailor-made software solutions that help them to increase their efficiency, speed, to reduce their costs and resource consumption, and even to improve the quality of their 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.