Sentence examples for penalty strategy from inspiring English sources

"It is shocking that the Kingdom was absent from the countries targeted by the UK's death penalty strategy over the past five years, when every other major executioner in the world – China, Iran, Iraq, the US and Pakistan – was included".

The penalty strategy makes the use of of finite-difference techniques on any boundary conditions on a boundary as fitness function in the cloud.

The penalty strategy was designed to eliminate the equalities in constraints and formulate new objective operators which guarantee feasibility within a reasonable execution time.

In MACNOS, a GA is used to search for the optimal shielding design and the penalty strategy is employed to deal with the constraints.

In a more recent work, Zheng et al. [43] proposed a weakly supervised penalty strategy for preimage learning in KPCA; however, their method needs information for both positive and negative classes.

This paper proposes the second generation of the self-organizing adaptive penalty strategy (SOAPS-II) to further improve the effectiveness and efficiency of the genetic searches on constrained optimization problems, especially when equality constraints are involved.

The blueprint also calls for the government to create a public strategy document within the Department of Foreign Affairs and Trade to direct anti-death penalty strategies worldwide, and the adoption of a global moratorium on capital punishment.

To overcome these shortcomings, the premium-penalty strategy has been introduced, and the pheromone diversity of the good paths and the ordinary ones is increased to polarize pheromone density of all paths.

Penalty delay strategy In this strategy, first checks if the new user request's budget is enough to wait for all accepted user requests in vmi to complete after its deadline, and then the investment return is calculated and the remaining steps are the same as those in initiate new VM strategy.  .

This paper proposes a Maximum Likelihood multi-criteria penalty function strategy for evaluating a priori parameter estimation approaches.

This paper uses a penalty guided strategy based on an artificial bee colony algorithm (PGBC) to solve the redundancy allocation problem (RAP) in reliability series parallel systems.