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

However, enforcing multivariate stochastic dominance constraints can often be overly conservative in practice. As an alternative, we focus on the widely applied risk measure conditional value-at-risk ...

In this paper, we consider a class of constrained convex optimization problems, where the global cost function is defined as the sum of agents' individual cost functions. Both local and coupling ...

Mathematical programming with vanishing constraints (MPVC) represents a challenging class of optimisation problems where certain constraints become inactive—or “vanish”—depending on ...

Central to the approach is an optimization technique for calculating VAR and optimizing CVAR simultaneously. This paper extends this approach to the optimization problems with CVAR constraints. In ...

This paper addresses the optimization problem of minimizing the sum of local distributed time-varying objective functions of multiple agents with equality constraints and inequality constraints under ...

H. Ronald Pulliam, Diet Optimization with Nutrient Constraints, The American Naturalist, Vol. 109, No. 970 (Nov. - Dec., 1975), pp. 765-768 ...