Intelligent algorithms for scheduling optimization

The general research theme of CODeS concerns the design, analysis and application of heuristics for a wide range of combinatorial optimisation problems. CODeS members have constructed models and investigated the behaviour and application of metaheuristics at the forefront of combinatorial optimisation research for over twenty years. Examples of such approaches include mathematical programming, heuristics, local search-based metaheuristics.

CODeS pursues both generic models and dedicated, custom-fit algorithmic approaches for a wide range of application domains which include real-world scheduling, timetabling, logistics, transportation, cutting and packing. Given its historical and continued involvement in various industrial projects and its participation in Leuven.AI and Leuven Institute for Mobility, CODeS constitutes a highly-qualified research group with a successful track record with regard to synergy and valorisation of its academic expertise, thereby positioning itself at the cutting edge of emerging system design and development methodologies.
CODeS actively seeks interdisciplinary research opportunities through which it may further strengthen and innovate its modeling and development expertise by applying the latest discoveries within its domain across a broad range of applications.
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Project

The objective of this project is to develop optimization algorithms and demonstrators for a set of general combinatorial optimization problems, in cooperation with Flemish companies.

Profile

Master in Engineering Technology (Software Engineering) or Master in Computer Science

Offer

4 years PhD project.

Interested?

For more information please contact Prof. dr. ir. Greet Vanden Berghe, tel.: +32 9 265 87 03, mail: greet.vanden.berghe@kuleuven.be or Mr. Pieter Smet, mail: pieter.smet@kuleuven.be

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