As cities worldwide begin embracing low-altitude logistics to support rapid, flexible deliveries by drones, urban planners face an increasingly ...

This study proposes a mixed-integer programming approach to minimize such switches while ensuring water quality and satisfying drinking water tank capacity constraints. Considering daily operations, ...

In this article, we consider a network of processors aiming at cooperatively solving mixed-integer convex programs subject to uncertainty. Each node only knows a common cost function and its local ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

Solve integer programming issues in your remote team with clear problem definitions, robust communication, and task breakdown. Share your successful strategies with us.

The documentation in the link below states that we should have at least one node running in a system node pool. I understand the importance of this constraint for running mission-critical pods. htt ...

In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the ...

Proposal IF and ELSE logic in constraints. For example, IF we have nodes that verify a constraint, ELSE allocate to other nodes. Use-cases In our use case, a job MUST be allocated to a node with a ...

Branch and bound is a popular technique for solving complex optimization problems, such as linear programming, integer programming, and combinatorial optimization.