The extended objective function is then given by (13) where θ1,…, θ r and θ r +1,…, θ r + s are, respectively, the optimal coefficients assigned to the Laplacians and the kernels.
"In these difficult times we have managed to both preserve and indeed extend social objectives like the removal of tuition fees, the protection of free care for the elderly, the importance of having a national health service which is free at the point of need to everyone.
Since then, the regulatory framework has been extended to improve the compatibility with land planning and other planning documents (regional land use plan, air protection plan), to extend their objectives (accessibility for disabled people, new mobility forms such as car sharing and electric vehicles) and to better define the process itself (environmental assessment, revision procedure).
Furthermore, we extend the objective function with startup and contamination costs and study the influence of these costs on the chosen plant design options.
7, 46 Given the aesthetic aspects of treating hypotrichosis of the eyelashes, which can be highly personal and extend beyond objective measurements, the pivotal trial also included patient-reported outcomes (PROs) as measures of efficacy.
We now consider a multi-objective formulation, extending the objective function and keeping unchanged the rest of the problem.
The Gradual Cover Location Problem (GCLP) was specifically designed to extend the basic cover objective to capture sensitivity with respect to absolute travel distance.
"We recently extended our objectives in terms of candidate diversity explicitly to increase a reference to class, as well as gender, sexuality, disability and ethnicity".
Since the extended multi-objective model belongs to NP-hard problems, an archived multi-objective simulated annealing (AMOSA) with an effective solution structure and seven mutation operators has been developed to solve the extended model and produce non-dominated solutions.
Most AOF methods originate from those methods that are proposed for single-objective optimization problems (SOOPs)—an intuitive approach usually is used to extend such single-objective methods to MOOPs by simply constructing a single aggregate objective function (AOF) that combines all of the objectives.
