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 constrained optimization problems the rates of change of the objective function with respect to the independent (nonbasic) variables have been interpreted as shadow prices, dual variables, and ...

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