multi-objective value analysis
Multi-Objective and Multi-Criteria Analysis for Optimal Pump Scheduling in Water Systems
... Despite single-objective optimization is able to find interesting solutions, problem-solving using it may be complex, mainly for the application of bio-inspired algorithms, and requires special attention to the ...
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Analysis of two algorithms for multi-objective min-max optimization
... Abstract This paper presents two memetic algorithms to solve multi-objective min-max problems, such as the ones that arise in evidence-based robust optimization. Indeed, the solutions that minimize the ...
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Bicluster Analysis of Biomedical Data based on Multi-objective Evolutionary Optimization
... a multi-objective non- dominated sorting genetic algorithm (NSGA) with local search strategy based on CC ...A value of one indicates that corresponding row or column is present in the bicluster and ...
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On the Value of Quality Attributes for Refactoring Model Transformations Using a Multi Objective Algorithm
... types. Objective: In this paper, we pro- pose a novel set of quality attributes to evaluate refactored ATL programs based on the hierarchical quality model ...using multi-objective ...
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Partnering for sustainability in agri-food supply chains: the case of Barilla Sustainable Farming in the Po Valley
... The objective of the paper is, indeed, to understand the process of designing a multi- stakeholder partnership (MSP) in the adoption of sustainable innovations in value chains, like the one of ...
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Performance Analysis of Multiflux Induction Motor for Optimum Efficiency and Power Factor Using Genetic Algorithm
... for multi objective design and optimization can be of great value in industry due to its flexibility, particularly, for variable load applications in which significant energy savings can be obtained ...
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Pareto Optimal Multi-Objective Dynamical Balancing of a Slider-Crank Mechanism Using Differential Evolution Algorithm
... for multi-objective dynamical balancing optimization of a crank-slider mechanism, and thus designer did not need to choose weight factors for combining the objective ...the ...
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A new approach for solving fuzzy multi-objective quadratic programming of water resource allocation problem
... fuzzy multi-objective quadratic model with flexible constraints for optimal allocation of limited available water resources among different water-user ...fuzzy multi-objective quadratic ...
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IMPROVEMENT IN POST PARETO ANALYSIS IN MULTI-OBJECTIVE OPTIMIZATION USING CLUSTERING TECHNIQUE
... in multi-objective optimization. Value function is used to help the decision- maker identify the most preferred solution in multi-objective optimization ...
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Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems
... optimization processes based on bio-inspired algorithms to water demand forecasting algorithms (Meirelles et al. ). Frequently, single-objective approaches are used to find the minimal energy cost using ...
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Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration
... the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model ...of objective functions and search algorithms all targeting a ...
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A Hybrid Multi-objective Extremal Optimisation Approach for Multi-objective Combinatorial Optimisation Problems
... the analysis for the test problems ...the objective space is dominated by a given non-dominated Pareto-set ...high value of this metric means a wide coverage of the Pareto-set under ...The ...
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Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model
... Envelopment Analysis (DEA) and cross-efficiency to assess the relative strengths, weaknesses, and performance of 66 handball players from the Royal Spanish Handball ...scholarship value, athletic ...
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Multi-objective optimisation for social cost benefit analysis: An allegory
... Mathematical models for the appraisal of government investment and pol- icy options can be challenging to build when working under limited resource constraints, due to the complex nature of the social systems they are ...
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Multi-objective optimisation of multi-output neural trees
... Whereas, NSGA-II and NSGA-III both follows non-dominated sorting as per [8]. However, NSGA-II and NSGA-III differ in line no. 7 of Algorithm 1. NSGA-II performs elitism based on crowding distance of the individuals ...
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Multi-Objective Supervised Learning
... elite multi-objective optimiser raises the question as to which solution to store if they have the same objective valuations but very different input space ...
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Variational Multi-Objective Coordination
... where A is the solution space. However, the entire CH may not be necessary. Instead, it also suffices to compute a convex coverage set (CCS), a lossless subset of the CH. For each possible w, a CCS contains at least one ...
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Multi-Objective Supervised Learning
... coefficient analysis a random allocation simplex can be used to compare different classifiers in Q(Q − 1) dimensional objective ...trees, multi-layer perceptrons, radial basis functions, ...the ...
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A Comparison of Four Multi-Objective Meta-Heuristics for a Capacitated Location-Routing Problem
... Albareda-Sambola et al. (2005) proposed another two-phase tabu search (TS) for the general LRP with one single route per open depot. The method has been tested on small instances for at most 30 customers. Yu et al. ...
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Methods for multi-objective optimization: An analysis
... for multi-objective problems be justified? Given the fact that the reported results are only slightly better in [16, 20] our hypothesis is that the difference is simply due to the ease with which a constant ...
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