multi - objective optimization in a sentence

"multi - objective optimization" in Chinese  
  1. Multi-objective optimization methods can be divided into four classes.
  2. Multi-objective optimization finds all Pareto solutions automatically with a single run.
  3. Many researchers in the group are active in the field of multi-objective optimization.
  4. Evolutionary algorithms are popular approaches to generating Pareto optimal solutions to a multi-objective optimization problem.
  5. Currently, most evolutionary multi-objective optimization ( EMO ) algorithms apply Pareto-based ranking schemes.
  6. It's difficult to find multi - objective optimization in a sentence.
  7. In 2015, a new paradigm for multi-objective optimization based on novelty was presented using evolutionary algorithms.
  8. Therefore, different researchers have defined the term " solving a multi-objective optimization problem " in various ways.
  9. For a nontrivial multi-objective optimization problem, there does not exist a single solution that simultaneously optimizes each objective.
  10. Solving a multi-objective optimization problem is sometimes understood as approximating or computing all or a representative set of Pareto optimal solutions.
  11. Alsheddy ( 2011 ) extended Guided Local Search to multi-objective optimization, and demonstrated its use in staff empowerment in scheduling.
  12. In contrast to a single optimization, there is another order structure between parameter and criteria spaces at a multi-objective Optimization.
  13. In the second part, test functions with their respective Pareto fronts for multi-objective optimization problems ( MOP ) are given.
  14. His recently proposed " Innovization " concept for finding innovative solution principles through multi-objective optimization is extremely useful for practical problem solving tasks.
  15. The roots for hybrid multi-objective optimization can be traced to the first Dagstuhl seminar organized in November 2004 ( see, here ).
  16. This can be viewed as a multi-objective optimization problem where each objective corresponds to maximization of the capacity of one of the users.
  17. More:   1  2  3

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