Sentence examples for transforming objectives from inspiring English sources

A variety of researches on set-based MOEAs have been carried out so far, including the frameworks, the methods of transforming objectives, and the approaches for comparing set-based individuals, to mention but a few.

From the above analysis, it is clear that PSEA-m isuperioror to the other set-based EAs with regard to convergence and distribution, and compared with the other three state-of-the-art many-objective EAs, PSEA-m has a good performance with regard to convergence and a competitive performance with regard to distribution, possibly due to ineffective performance indicators of transforming objectives.

This substantiates the hypothesis that the two processes share the same representational mechanism responsible for transforming objective time into psychological time.

In this theoretical account [29], [66], the scalar mechanism responsible for transforming objective time into subjective time is thought to take place at a clock stage, where pulses emitted by an internal pacemaker are transferred via a switch into an accumulator whose content grows as a linear function of real time.

The basis of these methods is the transformation of the multi-objective optimization problem into a single-objective optimization problem by combining multi-objective into a single objective or transforming some objectives into constraints.

This method generates single objective sub-problems by transforming all objectives except one of them into constraints.

Through transforming the objectives and the constraints step by step, all proposed constraints are satisfied very well.

The main purpose of this work is to present a policy-oriented framework toward addressing WWDs in a systematic manner and to suggest a systemic discipline for transforming policy objectives to actionable outcomes.

Finite element analysis and optimization technique have been integrated to solve the optimal process parameters of sheet metal forming by transforming multi-objective problem into a single-objective problem in many studies.

Classical multi-objective optimization methods transform multi-objective functions into a single objective function through the evaluation function which has some disadvantages such as essential need for providing weights, non-uniform distributed optimal solution due to local optimal searching algorithm and to repeatedly search algorithm for alternative solution (Xie et al. 2005).

The fitness function is obtained by means of transforming the objective function, i.e., let F ( i ) = α exp − β G ( i ), Open image in new window (6).