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To handle multiple objectives, the non-dominated sorting scheme and multiple producers are used in the algorithm.
As alternatives of choice become more complex and are characterized by multiple attributes as well as multiple objectives, the problem of combining these various aspects into a simple measure of utility becomes more difficult and less practical".
However, these techniques have not been able to satisfactorily address the issue of tradeoffs between multiple objectives, the determination of which is important from a designer's perspective in terms of providing design flexibility.
Although the narrative of biodiesel policies in most countries conveys win-win outcomes across multiple objectives, the case studies show that support of particular constituents, such as farm lobbies or energy interests, often dominates policy action and generates large social costs.
The two case study results show that the proposed approach overcame the qualitative approach such as signed directed graph's deficiency on handling sensor heterogeneity and multiple objectives; the proposed approach is systematic and robust; it can be integrated into diagnosis architecture to detect faults in other complex systems.
By introducing multiple objectives the solutions obtained should possess better properties and also have better defined parameters.
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Designing control systems using multiobjective genetic algorithms can lead to a substantial computational load as a result of the repeated evaluation of the multiple objectives and the population-based nature of the search.
Besides, to deal with the multiple objectives of the addressed problem, the membership function from fuzzy logic theory is also adopted in the algorithm for determining the weight of each single objective considered.
From (7), we can transform the multiple objectives of the whole network into the multiple objectives of each sensor node.
Vincent Cable, the finance spokesman for the opposition Liberal Democrats, said the multiple objectives of the recapitalization plan were "canceling themselves out".
An elitist nondominated sorting genetic algorithm (NSGA-II) is utilized to perform the optimization, in which the nondominated sorting mechanism is employed to handle the multiple objectives, and the constraint-domination principle is utilized to handle the multiple constraints.
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