Multi-objective robust optimization
A multi-objective robust optimization model to design a network for Emergency Medical Services under uncertainty conditions: A case study
... used multi-objective approach to consider covering/costs functions and accessibility of emergency ...a robust model to design a network for EMS under uncertainty ...
16
A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty
... Converting objective (10) from a non-linear to a linear programming model with linear constraints by introducing two non-negative deviational variables, we can solve the problem with less computational efforts ...
12
Trade-off in robustness, cost and performance by a multi-objective robust production optimization method Pages 133-148 Download PDF
... product optimization, a common problem is to determine optimal operating condition that balances the multiple quality characteristics of a ...for Multi-Objective Robust Optimization ...
16
DESIGN OF ROBUST YOULA-KUCERA CONTROLLER FOR SERVO MOTOR USING MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION.
... designed multi-objective controllers based on Youla-Kucera parameterization using MOPSO optimization technique have better tracking performance as compared to controller designed in [6] as observed ...
8
A Robust Optimization Methodology for Multi-objective Location-transportation Problem in Disaster Response Phase under Uncertainty
... One consequence of population growth in recent years is intensification of life and financial damages due to natural disasters such as earthquake, flood, storm, and terrorism. One of the main concerns about crisis have ...
9
An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization
... the multi-objective min-max problem (MOMMP) that derives from the maximization of the Belief in robust design op- ...evidence-based robust optimization, the solutions that minimize the ...
8
Robust Multi Objective Optimization for EE SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks
... For the spectrum allocation problem, its computational complexity is mainly up to the swap matching algorithm, i.e., Algorithm 3. Since there are at most 1 2 K (M − 1) Q potential swap-blocking pairs, the computation ...
14
Multi objective Optimization for Efficient Brahmic Keyboards
... of multi-objective optimization and machine learning to create more effective ...multiple optimization criteria to create a more robust keyboard ...keyboard optimization. The ...
16
Robust-fuzzy model for supplier selection under uncertainty: An application to the automobile industry
... innovative robust-fuzzy method for multi-objective, multi-period supplier selection problem under multiple ...integrates robust optimization and fuzzy ...of objective ...
15
New heuristics for multi-objective worst-case optimization in evidence-based robust design
... the multi-objective case, endowed with additional heuristics to soften the aforementioned ...level optimization, but embeds calls to the solvers of choice, the choice here being MACS ...
8
Online Full Text
... optimal multi-objective Pareto design of robust state feedback controllers for an inverted pendulum with parameters probabilistic uncertainty is ...The objective functions that have been ...
6
Multi-objective robust trajectory optimisation under epistemic uncertainty and imprecision
... generate robust optimal trajectories for spacecraft equipped with low-thrust propulsion under the effect of epistemic ...are robust against the effect of ...the robust optimisation ...memetic ...
13
Robust Multi Objective Optimization of Chromatographic Rare Earth Element Separation
... Process optimization is pivotal for process development, and it is common that several competing objectives must be re- ...model-based robust multi-objective optimization was carried ...
17
Multi-objective design of robust flight control systems
... a multi–input/multi–output (MIMO) sys- tem, where ¯ σ represents the maximum gain for a (disturbance) signal in the exptecred frequency ...be robust to the worst expected disturbance if ¯ σ is less ...
8
Robust Optimization Framework to Operating Room Planning and Scheduling in Stochastic Environment
... weighted multi-objective RO approach, which integrates optimization modules that take into account the number of scheduled surgeries, the waiting time, and tardiness of each patient associated with ...
204
Ranking Heating Losses in a Building by Applying the MULTIMOORA
... Multi-objective optimization by ratio analysis (MOORA) composed of two methods: ratio analysis and reference point theory, starting from the previous found ratios responds to the seven conditions ...
8
Multi indicators Brain Storm Optimization Algorithm for Multi objective Optimization Problems
... complex optimization The brain storm meeting is one of the group discussion modes, where the problem by a group of people is discussed under the organization of the ...
10
MLPSO: Multi leader particle swarm optimization for multi objective optimization problems
... Multi-objective Optimization (MOO) is a type of optimization problem that involves more than one objective ...These objective functions often conflict with each other, and hence, ...
6
Duality in Solving Multi Objective Optimization (MOO) Problems
... Multi-Objective Optimization (MOO) techniques often achieve the combina- tion of both maximization and minimization ...the multi-objective functions simpler using ...four ...
5
Multi objective evolutionary design of robust controllers on the grid
... A service-oriented architecture is essentially a collection of services that communicate with each other in order to perform a complex task. This service-oriented archi- tecture approach to grid computing is well suited ...
7