MOO

(redirected from Multi-objective optimization)
Also found in: Wikipedia.
AcronymDefinition
MOOMode of Operation
MOOMaster of Orion (computer game)
MOOMulti-Objective Optimization (engineering)
MOOMy Opinion Only
MOOMUD Object Oriented
MOOMulti Objective Optimizer
MOOMicrosoft Office Outlook
MOOMatter of Opinion
MOOMutual of Omaha (insurance company)
MOOMarket on Open (investing/trading)
MOOMemorandum Opinion and Order (FCC)
MOOMultiuser Object-Oriented
MOOMarathon Infinity (computer game; oo represents infinity symbol)
MOOMothers Opposed to the Occult
MOOMutuality of Obligation (legal concept)
MOOMeasure Of Outcome
MOOMaterial on Order
MOOMPLS (Multi-Protocol Label Switching) Over OTN (Optical Transport Network)
MOOMaintenance Operations Officer (US Air Force)
MOOMarket of Opportunities (software)
References in periodicals archive ?
The 2018 invited lectures discuss from data to information granules: a data science perspective, state-of-the-art evolutionary algorithms for dynamic multi-objective optimization, artificial intelligence 2.0: augmented intelligence, and data-driven decision making in manufacturing: how we got there and where to next.
Moreover, when dealing with a multi-objective optimization problem, Taguchi method runs into difficulties [18,19].
These topics mainly include constellation design on the basis of geometric analytical and by using multi-objective optimization methodology.
Smith, Multi-objective optimization using genetic algorithms: A tutorial, Reliability Engineering & System Safety 91 (9) (2006) 992-1007.
Among all the multi-objective optimization method, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is found to be more efficient in solving Multi-Criteria Decision Making (MCDM) problems because it offers a simple computational technique, less computational time, and values are close to the ideal solution.
The contribution of this article is to apply an established multi-objective optimization method.
A multi-objective optimization algorithm introduced into Evolution Origin for scheduling with blocks has been expanded to handle scheduling with solids.
[3.] Xu, W., Miao, T., and Liu, Z., "An Efficient Multi-Objective Optimization Method for Complicated Vehicle Random Vibration," Applied Mechanics and Materials 94-96:1694-1700, 2011.
A new concept to non-linear multi-objective optimization problem in neutrosophic environment is discussed in this paper.
Multi-objective optimization of HVAC system with an evolutionary computation algorithm.
Deb, "A hybrid framework for evolutionary multi-objective optimization," IEEE Transactions on Evolutionary Computation, vol.
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