Sentence examples for its own optimization from inspiring English sources

A general approach is presented for handling the following inverse optimization problem: given solutions to each member of a family of combinatorial optimization tasks on a common underlying set, find a positive linear objective function (weighting) on the common underlying set that simultaneously makes each solution optimal in its own optimization task.

Exactly as its predecessor, the proposed algorithm exploits the advantages of the numerical decoupling of S-systems, which allows that each component has its own optimization process [ 6, 11].

Each UAV is able to solve its own local optimization problem, and then make the optimal decision for the multi-UAV system through the information exchange among UAVs.

The scheduler deals with the scheduling of many truckers and each trucker's agent must have its own routing optimization models.

On one hand, the aggregator needs to satisfy the consumers' own service needs and improve the power quality; on the other hand, it signs contracts with consumers that enable them to utilize batteries, resulting in achievement of its own profit optimization.

Instead, each subsystem solves its own local optimization problem and only reports limited information to a higher-level controller to ensure the satisfaction of the global constraints which are often defined as limitations on the utilization or production on some shared resources or raw materials.

This saves the effort of users to set any parameter except their own optimization problem.

That can waste a lot of money, Szymanski said, but the real problem is that "you're actually competing with Facebook's own optimization algorithms".

Due to the complexity involved, we develop our own optimization model within this paper which at a later stage serves as validation tool for results generated by EnergyPLAN.

Some works present their own optimization objectives, such as the utility function illustrating the amount of bits delivered to users by a certain SBS in [4], the utility function specifying the utility related to the prices, caching costs, demands and fraction of content stored in [96].

The SCAD penalty introduced by Fan and Li [ 32] is (6) ∂ J λ (t ) ∂ t = min ⁡ λ, a λ − t + a − 1   for    some    a > 2, and a = 50 is used for our own optimization algorithm.