Suggestions(5)
Similar(60)
If, for a solution, at least one objective of that solution is better than in another solution and none of the remaining objectives are worse, that solution is said to dominate the other solution.
The objective of the solution is to yield a comparable accuracy of the trajectory at the least computational cost.
The objective of the solution is to find a data chunk allocation that maximizes the delivery utility of all data chunks.
Solution A is said to dominate solution B if both of the following 2 conditions are satisfied: i) f i A ≥ f i B (∀ i ∈1 … M ), where f i A and f i B are the i-th objective functions of solutions A and B, respectively, and M is the number of objective functions; ii) f i A ≠ f i B (∃ i ∈1 … M).
It is worth noting that the CDAS expands the dominance area by modifying the objective values of solutions; there also exist some dominance relations which expand the dominance area by modifying the definition of dominance, e.g., (alpha )-dominance [41] and generalized Pareto optimality (GPO) [42].
(11 where f(X m ) is the objective function value of solution X m.
C X): objective function value of solution X. L: counter for the number of accepted solutions in each temperature; K: counter for the number of consecutive temperature trails, where T K is equal to the temperature in iteration K. To generate initial solutions, which is the first step in any meta-heuristic approach, a creative approach is applied as follows.
With the support of this tool the decision-maker can obtain information about the shape of the Pareto front, the range of explored area by the algorithms, qualitative estimation of algorithm performance, relation between objectives, location of solutions and their dispersion.
2, we provide relevant justificatory knowledge and derive design objectives (objectives of a solution).
2, we outline justificatory knowledge related to BPS and VBM, and derive design objectives (objectives of a solution).
Following the DSR methodology as per Peffers et al. (2008), this study discusses the identification of and motivation for the research problem, objectives of a solution, design and development, and evaluation.
More suggestions(2)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com