Area 1
Intelligent hybridisation of optimisation methods
New hybridisation strategies across heuristics, metaheuristics and exact methods, matheuristics and automatic method selection.
Call for papers
Optimisation ecosystems
Intelligent hybridisation, collaboration and cooperation of metaheuristics.
Preamble
Why this event?
The Scientific Day on Optimisation Ecosystems (JSEO) follows directly from our own work and experience with approximate methods applied to hard optimisation problems.
Used on its own, a metaheuristic, however effective it may be on certain classes of problems, quickly reaches its limits when faced with the growing diversity and complexity of today's optimisation problems.
It therefore becomes essential to adopt more robust collective systems, structured around cooperation and collaboration between exact methods (EM), heuristics (H) and metaheuristics (MH), within distributed and parallel architectures.
Built on a new form of algorithmic hybridisation and coordinated by artificial intelligence, this paradigm marks a shift towards more intelligent participatory models. By drawing on the synergy of their respective properties, these collective approaches overcome the limits inherent in any single method, moving optimisation away from the isolated algorithm and towards a genuine algorithmic ecosystem that is efficient, robust and high performing.
It is precisely this shift that the JSEO sets out to explore, through the study of collaborative approaches that strengthen the efficiency, robustness and adaptability of approximate methods.
Objectives
What we set out to build
Bringing together researchers, doctoral students and practitioners around a shared question: how do we design, formalise and deploy genuinely collaborative ecosystems of metaheuristics, and what concrete benefits can we expect from them, in theory as well as in practice?
- Survey the state of the art in hybrid and collaborative approaches across exact methods, heuristics and metaheuristics.
- Encourage exchange between the optimisation, artificial intelligence and applied engineering communities.
- Highlight concrete use cases where combining several algorithms made the difference.
- Identify the scientific obstacles that remain open and sketch out future avenues for collaboration.
- Build a lasting bridge between those who use optimisation techniques.
- Give early career researchers, master's and doctoral students a platform to present and discuss their work.
Thematic areas
Four areas, one shared question
Contributions are organised around four thematic areas, given as an indication and not as a restriction.
Area 2
Intelligent cooperation and collaboration (MetaStorming)
Methods that interact, exchange and reinforce one another: multi-agent systems, distributed optimisation, reproducibility.
Area 3
Learning, adaptation and intelligence of ecosystems
When artificial intelligence guides the search: self-configuration, reinforcement learning, dynamic orchestration.
Area 4
Optimisation and decision intelligence
Industrial, socio-economic and interdisciplinary applications, with particular attention to real data and working prototypes.
Optimising alone is exploring. Optimising together is converging.
Key dates
Submissions open Open now
20 August 2026
Abstract submission deadline
12 October 2026
Notification of acceptance
15 October 2026
Scientific day
22 October 2026
Who it is for
This day is open to you
The JSEO is a meeting point between academic research and the socio-economic world. This day is open to you. We invite you to submit a contribution, either a talk or a poster, falling within one of the four thematic areas, given as an indication and not as a restriction.
Doctoral students, researchers and academic staff
From the Faculty of Mathematics and the other faculties of USTHB.
Industry professionals and engineers
In companies and institutions, facing optimisation challenges in their day to day practice.
Submission
Propose a contribution
Authors and practitioners are invited to submit an abstract, written in French or English, for either a talk or a poster.
Go to the submission form