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

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 ...

Implicit Hitting Set Algorithms for Constraint Optimization Computationally hard optimization problems are commonplace not only in theory but also in practice in many real-world domains. Even ...

Abstract. A multiobjective optimization problem (MOP) with inequality and equality constraints is considered where the objective and inequality constraint functions are locally Lipschitz and equality ...

In this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...

On October 13, 2020, Andreas Niskanen of the Constraint Reasoning and Optimization group successfully defended his doctoral thesis on Computational Approaches to Dynamics and Uncertainty in Abstract ...

Various non-convex optimization algorithms are thus designed to seek an optimal solution by introducing different constraints, frameworks, and initializations.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...