Multiobjective optimization
Multiobjective optimization of classifiers by means of 3-D convex Hull based evolutionary algorithms
... that perform well as a set. Despite the fact that ROCCH is an important topic in classification, there is not much work focusing focus on how to maximize the ROCCH. A reason for this could be that this is a relatively ...
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Multiobjective optimization of MPLS-IP networks with a variable neighborhood genetic algorithm
... reason, multiobjective strategies have also gained importance in the optimization of traffic flows in ...the multiobjective approach presents a uniform treatment of all ...
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Braz. J. Chem. Eng. vol.33 número4
... The multiobjective optimization method was applied in order to improve the droplet size distribution and stability of water-in-oil emulsions composed of sunflower and pumpkin seed oils as continuous phase, ...
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A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment
... of Multiobjective Optimization and Evo- lutionary Computation in order to optimize simultaneously quality and con- sistency of the final ...other optimization problems in the Bioinformatics [8] and ...
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Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints
... This paper aims at presenting simple and efficient method for solving multiobjective optimization problem with FREs as constraints. The proposed method based on fuzzy goal programming approach is used to ...
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Multiobjective GA for Real Time Task Scheduling
... The multiobjective optimization problems have been receiving growing interest from researchers with various backgrounds since early ...to multiobjective optimization problems, resulting in a ...
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Identifying the preferred subset of enzymatic profiles in nonlinear kinetic metabolic models via multiobjective global optimization and Pareto filters.
... of multiobjective optimization in metabolic studies has been pointed out by several authors ...a multiobjective optimization (MOO) problem is given by a set of points known as the Pareto ...
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How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?
... evolutionary multiobjective optimization (EMO) tools’ relative effectiveness in calibrating hydrologic ...the Multiobjective Shuffled Complex Evolu- tion Metropolis algorithm (MOSCEM-UA), and the ...
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Tuning of a Proportional-Integral-Derivative Controller using Multi-Objective Non Dominated Sorting Particle Swarm Optimization Applied to pH Control in Continuous Stirred Tank Reactor
... This study aims at using an acid-base neutralization process of a Continuously Stirred Tank Reactor (CSTR) as a challenging test bed for examining the feasibility of solutions obtained with NSPSO. First an brief overview ...
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A survey of diversity-oriented optimization
... to optimization algorithms need to cope with the fact that, the outcome is not constituted by a single solution, but by a set of solutions ...and multiobjective optimization ...in ...
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An infeasibility certificate for non-linear programming based on pareto-criticality conditions
... The main purpose of this thesis is to characterize infeasibility of non-linear op- timization problems as a Pareto-criticality of an auxiliary problem. It is shown here a structural similarity between the Kuhn-Tucker ...
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Procedural Optimization Models for Multiobjective Flexible JSSP
... vast optimization theory meets the real world ...most optimization models suited to MOFJSSP and analyzes in detail the genetic algorithms and agent-based models as the most appropriate procedural ...JSSP, ...
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Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization
... Low noise microwave amplifier is a very important component in receiver applications especially when it is required to have preamplifier with as low a noise figure as possible and details of a low noise amplifier design ...
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SOME OPTIMALITY AND DUALITY RESULTS FOR AN EFFICIENT SOLUTION OF MULTIOBJECTIVE NONLINEAR FRACTIONAL PROGRAMMING PROBLEM
... is multiobjective non-linear fractional programming problem involving semilocally convex and related ...of multiobjective fractional programming and corresponding scalar fractional programming ...for ...
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Origens e das políticas públicas de saúde no estado do Ceará
... PDF compression, OCR, web optimization using a watermarked evaluation copy of CVISION PDFCompressor... PDF compression, OCR, web optimization using a watermarked evaluation copy of CVISI[r] ...
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Otimização Multiobjetivo Aplicada ao Planejamento Sistemático de Conservação para Espécies de Plantas do Cerrado Brasileiro
... Artificial Immune Network for Omni-Optimization (omni-aiNet) [46, 91] é um al- goritmo baseado na teoria de redes imunológicas, capaz de resolver otimizações mono e multiobjetivo, com restrições ou sem restrições. ...
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Image Compression based on DCT and BPSO for MRI and Standard Images
... swarm optimization and proposed its simplified ...swarm optimization (PSO) and Genetic algorithm (GA) based compression in wavelet ...heuristic optimization algorithms which are used for image ...of ...
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Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm
... Here 𝜀 0 and 𝜇 0 is the permittivity and permeability of free space and 𝜔 is the angular frequency of the incident wave. 𝜀 0 = 8.854 × 10 −12 𝐹/𝑚 and 𝜇 0 = 4𝜋 × 10 −7 𝐻/𝑚 The reflection coefficient between the ...
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J. Microw. Optoelectron. Electromagn. Appl. vol.12 número2
... paper, optimization procedures based on particle swarm optimization (PSO) are investigated, aiming to efficiently solve the optimal resource allocation for signal-to-noise plus interference ratio (SNIR) ...
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Uso de algoritmos evolucionários na calibração de modelos hidrológicos e na operação de sistemas de reservatórios
... Swarm Optimization) e o SCEM (Shuffled Complex Evolution Metropolis), enquanto que para o problema multiobjetivo o algoritmo proposto será avaliado tendo como referência as versões multiobjetivo dos anteriores, o ...
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