Sentence examples for multiple objective optimization from inspiring English sources
A multiple objective optimization model is proposed to optimize inspection security, inspection cost, and processing time; an evolutionary approach is used to solve the model.
The set Ξ of non-dominated (or Pareto-optimal) designs for the multiple objective optimization problem defined by log| M β |, and log| M ν | is defined by The solid line in Figure 8 is an example of a Pareto surface for simultaneous maximization of the two criteria.
The approach builds upon multiple objective optimization in order to generate a set of optimal solvent molecules that embeds highly inclusive designs and incorporates comprehensive design information regardless of process economics.
Interested readers may find the importance of generalized convexity to variational inequalities and multiple objective optimization in [16 20].
Since most real-life problems include conflicting objectives, multiple objective optimization provides a means for obtaining more realistic models.
The multiple objective optimization problems are solved by an evolutionary algorithm using a Matlab program.
In order to locate the maximum workspace with the global dexterity and conformity dexterity, single and multiple objective optimizations are performed under conditions of geometric constraints and kinematic performance indices by particle swarm optimization.
For multiple objectives continuous space optimization problem, Zhan et al. [16] proposed a co-evolutionary technique for multiple objectives optimization problem.
In addition to the unconstrained optimization problem, there is also work involved in the multiple objectives optimization problem under constrained condition [19].
In this paper, an effective multiple objectives optimization method is discussed assuming that a distribution power system where many RES DGs are installed.
In this work, adaptive single-objective optimization (ASO) and adaptive multiple-objective optimization (AMO) are used to find optimized coverage distributions in the antenna, while maintaining its internal geometry that is relevant for microwave diagnostics.
