Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems.

Nilay Noyan, Gábor Rudolf, Optimization with Multivariate Conditional Value-at-Risk Constraints, Operations Research, Vol. 61, No. 4 (July-August 2013), pp. 990-1013 ...

Sequential optimality conditions for constrained optimization are necessarily satisfied by local minimizers, independently of the fulfillment of constraint qualifications. These conditions support the ...

The researchers also considered an extension of the STSP that includes time windows for simultaneous pickups and deliveries, creating a more realistic and challenging problem. The core method involves ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

On December 8, 2021, Kari Rantanen of the Constraint Reasoning and Optimization group successfully defended his doctoral thesis Optimization Algorithms for Learning Graphical Model Structures.

Constraint Reasoning and Optimization Group is offering summer internships to MSc and BSc level students, providing a hands-on experience to forefront research in the group.