Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS
Content archived on 2024-06-18

Chaotic Cellular Neural/Nonlinear Networks for Solving Constraint Satisfaction

Objective

"Constraint satisfaction problems (such as Boolean satisfiability) constitute one of the hardest classes of optimization problems with many applications in technology and industry. In a recent paper the Fellow revealed a novel connection between these problems and chaotic dynamical systems. The paper provided an exact mapping of Boolean satisfiability (k-SAT) into a deterministic continuous-time dynamical system with a unique correspondence between its set of attractors and the k-SAT solutions. It was shown that optimization hardness is fundamentally equivalent to the phenomenon of chaos and turbulence: after a critical constraint density is reached, the trajectories become transiently chaotic before finding the solutions, signaling the appearance of optimization hardness. Numerical results have also shown that the presented dynamical system is very efficient in solving SAT problems. The system presented has the simplest possible form designed for fulfilling the mathematical requirements and is not yet suitable for direct implementation. However, the system is not necessarily unique. Using the same principles the goal of this project is to develop a deterministic continuous-time Cellular Neural/Nonlinear Network (CNN) model for solving constraint satisfaction. CNN models were already implemented in analog computers so this could result in a possible physical implementation of the model in the future, leading to numerous applications. The project will follow three major steps: 1) developing the CNN model and analyzing its mathematical properties. 2) Studying the efficiency of the CNN solver and properties of the transient chaotic behavior in hard problems. 3) Testing the robustness of the model to noise effects."

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

You need to log in or register to use this function

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-PEOPLE-2011-IIF
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MC-IIF - International Incoming Fellowships (IIF)

Coordinator

UNIVERSITATEA BABES BOLYAI
EU contribution
€ 128 555,40
Address
MIHAIL KOGALNICEANU 1
400084 CLUJ NAPOCA
Romania

See on map

Region
Macroregiunea Unu Nord-Vest Cluj
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data
My booklet 0 0