Other events

Conference tracks

Hybrid metaheuristics, Matheuristics

Organized by El-Ghazali Talbi and Rachid Ellaia

International Conference on Metaheuristics and Nature Inspired Computing (META 2018)

Marrakech, 27–31 October 2018

This conference track welcomes presentations that cover any aspects of hybrid metaheuristics and matheuristics, and is part the META 2018 conference.

META is one of the most popular conference focusing in the area of metaheuristics and their applications. As in the previous six editions, META 2018 will provide an opportunity to the international research community in metaheuristics for optimization and machine learning to discuss recent research results, to develop new ideas and collaborations, and to meet researchers from diverse countries in a friendly and excellent atmosphere.


Parallel and cooperative metaheuristics

Organized by El-Ghazali Talbi and Rachid Ellaia

International Conference on Metaheuristics and Nature Inspired Computing (META 2018)

Marrakech, 27–31 October 2018

This conference track welcomes presentations that cover any aspects of parallel and cooperative metaheuristics, and is part the META 2018 conference.

META is one of the most popular conference focusing in the area of metaheuristics and their applications. As in the previous six editions, META 2018 will provide an opportunity to the international research community in metaheuristics for optimization and machine learning to discuss recent research results, to develop new ideas and collaborations, and to meet researchers from diverse countries in a friendly and excellent atmosphere.


Multi-objective optimization

Organized by El-Ghazali Talbi and Rachid Ellaia

International Conference on Metaheuristics and Nature Inspired Computing (META 2018)

Marrakech, 27–31 October 2018

This conference track welcomes presentations that cover any aspects of multi-objective optimization, and is part the META 2018 conference.

META is one of the most popular conference focusing in the area of metaheuristics and their applications. As in the previous six editions, META 2018 will provide an opportunity to the international research community in metaheuristics for optimization and machine learning to discuss recent research results, to develop new ideas and collaborations, and to meet researchers from diverse countries in a friendly and excellent atmosphere.


Evolutionary Multi-objective Optimisation (EMO)

Organized by Tea Tušar and Qingfu Zhang

Genetic and Evolutionary Computation Conference (GECCO 2018)

Kyoto, 15-19 July 2018

In many real-world applications, several objective functions have to be optimized simultaneously, leading to a multi-objective optimization problem (MOP) for which an ideal solution seldom exists. Rather, MOPs typically admit multiple compromise solutions representing different trade-offs among the objectives. Due to their applicability to a wide range of MOPs, including black-box optimization problems, evolutionary algorithms for multiobjective optimization have given rise to an important and very active research area, known as Evolutionary Multiobjective Optimization (EMO). No continuity or differentiability assumptions are required by EMO algorithms, and problem characteristics such as nonlinearity, multimodality and stochasticity can be handled as well. Furthermore, preference information provided by a decision maker can be used to deliver a finite-size approximation to the solution set (the so-called Pareto-optimal set) in a single optimization run.


EC in Practice

Organized by Thomas Bartz-Beielstein, Anna I Esparcia-Alcázar, and Jörn Mehnen

Genetic and Evolutionary Computation Conference (GECCO 2017)

Berlin, 15-19 July 2017

Well-known speakers with outstanding reputation in academia and industry present background and insider information on how to establish reliable cooperation with industrial partners. Experts in real-world optimisation with decades of experience share their approaches to creating successful projects for real-world clients.


Real-World Applications (RWA)

Organized by Esparcia Alcazar and Boris Naujoks

Genetic and Evolutionary Computation Conference (GECCO 2017)

Berlin, 15-19 July 2017

Real-world applications (RWA) were originally the driving force for the development of evolutionary optimisation techniques; way before any theories were developed, EC was already applied successfully in the real world. In this spirit, the RWA track welcomes rigorous experimental, computational and/or applied advances in evolutionary computation (EC) in any discipline devoted to the study of real-world problems. The aim is to bring together contributions from the diverse fields encountered in Engineering and Sciences, including Social Sciences and Economics, into a single event. The focus is on applications including but not limited to:

  • Papers that describe advances in the field of EC for implementation purposes.
  • Papers that present rigorous comparisons across techniques in real world applications.
  • Papers that present novel uses of EC in the real world.
  • Papers that present new applications of EC to real world problems.


Evolutionary Multiobjective Optimization (EMO)

Organized by Tea Tušar and Carlos M. Fonseca

Genetic and Evolutionary Computation Conference (GECCO 2017)

Berlin, 15-19 July 2017

In many real-world applications, several objective functions have to be optimized simultaneously, leading to a multi-objective optimization problem (MOP) for which an ideal solution seldom exists. Rather, MOPs typically admit multiple compromise solutions representing different trade-offs among the objectives. Due to their applicability to a wide range of MOPs, including black-box optimization problems, evolutionary algorithms for multiobjective optimization have given rise to an important and very active research area, known as Evolutionary Multiobjective Optimization (EMO). No continuity or differentiability assumptions are required by EMO algorithms, and problem characteristics such as nonlinearity, multimodality and stochasticity can be handled as well. Furthermore, preference information provided by a decision maker can be used to deliver a finite-size approximation to the solution set (the so-called Pareto-optimal set) in a single optimization run.


Networking events

Job Market

Organized by Tea Tušar

Genetic and Evolutionary Computation Conference (GECCO 2018)

Kyoto, 15-19 July 2018

The GECCO Job Market is an event where people offering jobs can advertise open positions and meet with potential candidates. Any kind of positions are eligible (PhD, Postdoc, Professor, Engineer, etc.) - from the academia as well as the industry.

The job market will be organized as a short session at the beginning of the lunch break on Tuesday, July 17. After brief presentations of the available positions, participants will have the possibility to set up face-to-face meetings for further discussions.


Job Market

Organized by Tea Tušar

Genetic and Evolutionary Computation Conference (GECCO 2017)

Berlin, 15-19 July 2017

A first-of-a-kind special session at GECCO that brought together researchers from institutions offering (academic) positions and conference attendees searching for jobs. Open positions to be presented at the Job Market were collected before the conference through the existing SIGEVO Job Ads website. The GECCO Job Market at the conference started with short presentations of the open positions, followed by face-to-face meetings between those advertising the positions and the potential applicants.


Competitions

Industrial Challenge: Monitoring of drinking-water quality

Organized by Martina Friese, Margarita Rebellodo, Sowmya Chandrasekaran, Jörg Stork, and Thomas Bartz-Beielstein

Genetic and Evolutionary Computation Conference (GECCO 2017)

Berlin, 15-19 July 2017

Water covers 71% of the Earth’s surface and is vital for all known forms of life. The holistic consideration of water as an important means of nourishment as well as the general protection of lakes and rivers are a central basis for the growth and further development of human civilization. At the same time, the civilization itself, with its steady growth, is a menace to the purity of water resources used for drinking water supply and its distribution network. They are highly sensible to any kinds of contaminations. The provision of clean and safe drinking-water is an essential task for water supply companies all over the world.

To deal with this scenario, highly sensible sensors monitor relevant water- and environmental data at several measuring points, on a regular basis. The monitored data can be analyzed to discover any kinds of anomalies. This allows for early recognitions of undesirable changes in the drinking water quality and enables the water supply companies to counteract in time.

This year’s industrial partner is Thüringer Fernwasserversorgung (TFW), which provides the dataset used in this challenge. Goal of the GECCO 2017 Industrial Challenge is to develop an event detector to accurately predict any kinds of changes in a time series of drinking water composition data.


Coming events

  • META 2018
    27. 10. 2018 - 31. 10. 2018

    7th International Conference on Metaheuristics and Nature Inspired Computing