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Multiple objectives and constraints

Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks

Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks

... IP addresses. Most of the service providers prefer GMPLS based routers for modern applications [7, 8]. 3 Problem Evaluation To provide the effective traffic engineering in MPLS/ GMPLS network and for han- dling massive ...

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A Genetic Algorithm for Multiple Inspections with Multiple Objectives

A Genetic Algorithm for Multiple Inspections with Multiple Objectives

... is desired to design an inspection plan in a minimal-cost fashion. This cost is an aggregation of inspection costs, total cost of rejecting conforming units and the total cost of accepting non-conforming units. It is ...

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Forest management-consideration of multiple objectives

Forest management-consideration of multiple objectives

... logistics constraints were ...important objectives in the tactical forest management could lead to a more balanced and economically sustainable plan, in addition systematical cluterization of harvest areas ...

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Multiple Objectives Satisficing Under Uncertainty

Multiple Objectives Satisficing Under Uncertainty

... across multiple objectives subjected to resource ...common multiple objectives for- mulation assumes some reasonable weightings over the individual objectives resulting in a single ...

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Designing combinatorial libraries optimized on multiple objectives.

Designing combinatorial libraries optimized on multiple objectives.

... space. Constraints are handled by penalising solutions that violate the ...section, constraints are applied on library size and configuration, however, they could equally be applied to any of the ...

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Machine learning in the real world with multiple objectives

Machine learning in the real world with multiple objectives

... fairness constraints through a novel formulation with multiple learning ...are multiple limitations of such ...the constraints in such ...

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Training dependency parsers by jointly optimizing multiple objectives

Training dependency parsers by jointly optimizing multiple objectives

... that we are not properly modeling the downstream task in the parsers, it also means that there is some information from small task or domain-specific data sets which could help direct our search for optimal parameters ...

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Decision making with multiple objectives using GAI networks

Decision making with multiple objectives using GAI networks

... The complexity of decision problems in organizations, the importance of the issues raised and the increasing need to explain or justify any decision has led decision makers to seek a scientific support in the preparation ...

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Linear bilevel programs with multiple objectives at the upper level

Linear bilevel programs with multiple objectives at the upper level

... with multiple objectives at the upper level of decision ...and constraints at both levels define polyhedra, it is proved that the set of efficient solutions is ...

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Interactive Selection of ISO Controls under Multiple Objectives

Interactive Selection of ISO Controls under Multiple Objectives

... given constraints and Pareto-efficient with respect to a num- ber of objectives that have been identified as the most relevant ones for the given decision ...

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Consistent Plug-in Classifiers for Complex Objectives and Constraints

Consistent Plug-in Classifiers for Complex Objectives and Constraints

... The proposed algorithm enjoys several practical benefits. Firstly, the algorithm is computationally efficient to implement: given a pre-trained class probability model (e.g. logistic regression), the algorithm performs a ...

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Analysis & Optimization of Association Rule Mining with Multiple Constraints

Analysis & Optimization of Association Rule Mining with Multiple Constraints

... Reference [1] In this paper authors have proposed Mining Optimized Association Rules Algorithm (MOAR) which maintains two populations: the internal population, and a Pareto−store. This algorithm incorporates partial ...

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Linear Programs: Variables, Objectives and Constraints

Linear Programs: Variables, Objectives and Constraints

... the constraints. If you simply write the constraints in the most convenient way, they will be recognized as proper linear constraints according to the rules in this ...

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Learning to Translate with Multiple Objectives

Learning to Translate with Multiple Objectives

... Practical recommendation: We present the Pareto approach as a way to agnostically optimize multiple metrics jointly. However, in practice, one may have intuitions about metric tradeoffs even if one cannot specify ...

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Access to sensitive data: Satisfying objectives, not constraints

Access to sensitive data: Satisfying objectives, not constraints

... The next section proposes a perspective on access which emphasises the predominance of objectives over constraints. This leads to a model where law, technology and risk are all ‘enablers’: that is, they ...

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Review of distributed generation planning: objectives, constraints, and algorithms

Review of distributed generation planning: objectives, constraints, and algorithms

... The constraints have been classified as equality and inequality ...equality constraints and sixteen types of inequality ...The Objectives, constraints, load level, systems, numbers of DGs, and ...

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Project Management for a Country with Multiple Objectives

Project Management for a Country with Multiple Objectives

... Abstract This paper proposes project management for a national economy in search for new projects, even with competition between projects. Traditional Cost-Benefit does not respond to this purpose. Indeed Cost-Benefit is ...

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Utility Maximization Subject to Multiple Constraints

Utility Maximization Subject to Multiple Constraints

... Usually, the method of rationing is applied through the use of redeemable coupons used by government agencies. The government agencies give each consumer an allocated number of coupons each month. Under rationing system, ...

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Association Rules Mining with Multiple Constraints

Association Rules Mining with Multiple Constraints

... the constraints, there are four kinds of constraints, which are monotonic constraint, anti-monotone constraint, succinct constraint, and convertible ...satisfy constraints is a difficult one, the ...

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Access to sensitive data: Satisfying objectives rather than constraints

Access to sensitive data: Satisfying objectives rather than constraints

... For example, some US Census Bureau data is made available at restricted on-site RDCs, but synthetic equivalents are accessible through a virtual RDC. NSIs tend to be risk-averse and avoid new solutions, but in most of ...

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