Examples of 'multi-objective optimization' in a sentence
Meaning of "multi-objective optimization"
multi-objective optimization ~ a concept in mathematics and computer science that involves optimizing multiple objectives simultaneously, often requiring trade-offs between different criteria
How to use "multi-objective optimization" in a sentence
Basic
Advanced
multi-objective optimization
Test functions for multi-objective optimization.
New multi-objective optimization methods are also proposed.
We emphasize solutions to multi-objective optimization problems.
In multi-objective optimization the concept of dominance is therefore introduced.
The second one is on the multi-objective optimization.
Multi-objective optimization to identify key players in large social networks.
Resulting mathematical problems are addressed by multi-objective optimization.
Evolutionary multi-objective optimization platform.
The optimization model is based on a simulation-based multi-objective optimization.
Multi-objective optimization has been increasingly employed in chemical engineering and manufacturing.
Clustering can therefore be formulated as a multi-objective optimization problem.
Finally, a mono and multi-objective optimization of a solar power plant is performed.
He used the goal programming to treat of a multi-objective optimization problem.
Multi-objective optimization of recovery boiler dimensions using computational fluid dynamics.
With this dialog a single or multi-objective optimization can be performed.
See also
Finally, we discuss the sensitivity analysis andstability in parametrized multi-objective optimization.
A multi-objective optimization problem is an optimization problem that involves multiple objective functions.
Evolutionary algorithms are widely used in single and multi-objective optimization.
A new problem of multi-objective optimization for a single product transfer line is solved.
The improved algorithm has then been adapted for multi-objective optimization.
In the multi-objective optimization several objective functions are proposed in one overall objective function.
These gains are achieved through the use of multi-Objective optimization algorithms.
Multi-objective optimization of rigorous process models is therein a prime example, with extensive use in literature.
All the proposed voltage algorithms are based on a multi-objective optimization function.
The multi-objective optimization consists of maximizing the submarine 's military effectiveness and minimizing its cost.
Evolutionary algorithms have been widely used to tackle multi-objective optimization problems.
For a nontrivial multi-objective optimization problem, no single solution exists that simultaneously optimizes each objective.
We redefine the problem of finding these search points as a multi-objective optimization one.
The developed model is composed by a multi-objective optimization module and a multi-criteria decision support module.
The research method of this study was simulation-based multi-objective optimization.
A Multi-Objective Optimization model is suggested with a metaheuristic resolution.
A way to win this challenge is the utilization of exact multi-objective optimization methods.
Multi-objective optimization finds all Pareto solutions automatically with a single run.
We model the appointment system problem as a multi-objective optimization problem with three objectives.
This dissertation shows a methodology to design raman optical amplifiers using multi-objective optimization.
It solves the multi-objective optimization problems by generating a sufficient number o fpoints in the Pareto front.
This study introduces a new method for the solution of multi-objective optimization problems.
Conducting Multi-objective optimization of Energy systems.
Development of advanced tools for design methodologies and multi-objective optimization in control engineering.
Therefore, our multi-objective optimization problem can be formally described as follows,.
Primarily proposed for numerical optimization and extended to solve combinatorial, constrained and multi-objective optimization problems.
Hence, a preliminary study about multi-objective optimization tools is realized.
Evolutionary algorithms are popular approaches to generating Pareto optimal solutions to a multi-objective optimization problem.
From a mathematical point of view, a multi-objective optimization problem can be written as follows, where,.
Abstract, The design of a mechatronic system is a multidisciplinary and multi-objective optimization problem.
Two multi-objective optimization based tuning techniques for model predictive control ( mpc ) were developed.
The Pareto frontier is also used in multi-objective optimization.
Finally, a new multi-objective optimization method called RSMO is presented.
You will get an extensible API to interface with nonlinear programming and multi-objective optimization.
A multi-objective optimization technique, the strength pareto evolutionary algorithm 2 ( spea2 ), was used in order to generate.
You'll also be interested in:
Examples of using Multi-objective
Show more
Test functions for multi-objective optimization
New multi-objective optimization methods are also proposed
We emphasize solutions to multi-objective optimization problems
Examples of using Optimization
Show more
As a tool for optimization of the supply chain
Optimization and standardization of nucleic acid extractions
Active routes for the optimization of resources
