Suchergebnisse - "IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making"
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SMPSO: A new PSO-based metaheuristic for multi-objective optimization
ISBN: 1424427649, 9781424427642Veröffentlicht: IEEE 01.03.2009Veröffentlicht in 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (01.03.2009)“… In this work, we present a new multi-objective particle swarm optimization algorithm (PSO) characterized by the use of a strategy to limit the velocity of the …”
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Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… Recently the inverted generational distance (IGD) measure has been frequently used for performance evaluation of evolutionary multi-objective optimization …”
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Generating diverse and accurate classifier ensembles using multi-objective optimization
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… Accuracy and diversity are two vital requirements for constructing classifier ensembles. Previous work has achieved this by sequentially selecting accurate …”
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Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… In the evolutionary multi-objective optimization (EMO) community, some well-known test problems have been frequently and repeatedly used to evaluate the …”
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Optimization algorithms for multi-objective problems with fuzzy data
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… This paper addresses multi-objective problems with fuzzy data which are expressed by means of triangular fuzzy numbers. In our previous work, we have proposed …”
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PICEA-g using an enhanced fitness assignment method
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… The preference-inspired co-evolutionary algorithm using goal vectors (PICEA-g) has been demonstrated to perform well on multi-objective problems. The …”
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SARNA-Predict: Using adaptive annealing schedule and inversion mutation operator for RNA secondary structure prediction
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… Ribonucleic Acid (RNA) plays a crucial role in many cellular functions including the synthesis of proteins. The structure of RNA is essential for it to serve …”
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Sustainability status of Indian states: Application and assessment of MCDM frameworks
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… The evidence of UNDESA framework of sustainability assessment in MCDM paradigm is scarce generically and particularly, the status of sustainability of Indian …”
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Partially Optimized Cyclic Shift Crossover for Multi-Objective Genetic Algorithms for the multi-objective Vehicle Routing Problem with time-windows
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… The complexity of the Vehicle Routing Problems (VRPs) and their applications in our day to day life has garnered a lot of attentions in the area of …”
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Clustering Decision Makers with respect to similarity of views
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… Within a large group of decision makers, varying amounts of both conflicting and harmonious views will be prevalent within the group, but obscured due to group …”
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Crowding Population-based Ant Colony Optimisation for the Multi-objective Travelling Salesman Problem
ISBN: 9781424407026, 1424407028Veröffentlicht: IEEE 01.04.2007Veröffentlicht in 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making, Honolulu, HI, 1-5 April 2007 (01.04.2007)“… Ant inspired algorithms have gained popularity for use in multi-objective problem domains. One specific algorithm, Population-based ACO, which uses a …”
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Bipolar Choquet integral of fuzzy events
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… The aim of this paper is to propose the concept of bi-capacities and its integrals of fuzzy events. First, we introduce a approach for studying bi-capacities …”
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Multicriteria approaches for predictive model generation: A comparative experimental study
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… This study investigates the evaluation of machine learning models based on multiple criteria. The criteria included are: predictive model accuracy, model …”
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Cascaded evolutionary multiobjective identification based on correlation function statistical tests for improving velocity analyzes in swimming
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… By using biomechanical analyses applied to sports many researchers are providing important information to coaches and athletes in order to reach better …”
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A hybrid multi-objective GRASP+SA algorithm with incorporation of preferences
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… A hybrid multi-objective approach based on GRASP (Greedy Randomized Adaptive Search Procedure) and SA (Simulated Annealing) meta-heuristics is proposed to …”
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Multi-Genomic Algorithms
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… The first step of any optimization process consists in choosing the Decision Variables (DV) and its relationships that model the problem, system or object to …”
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Selection of solutions in multi-objective optimization: Decision making and robustness
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… A multidisciplinary design an optimization framework based on the use of multi-objective evolutionary algorithms, together with decision making and robustness …”
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A multiobjective genetic algorithm based on NSGA II for deriving final ranking from a medium-sized fuzzy outranking relation
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… In this paper, a heuristic, based on the non dominated sorting genetic algorithm II (NSGA II), is developed to exploit a known fuzzy outranking relation, with …”
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Visualization and classification of protein secondary structures using Self-Organizing Maps
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… In molecular biology, it is estimated that there is a correlation between the secondary structure of a protein and its functionality. While secondary structure …”
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A bottom-up implementation of Path-Relinking for Phylogenetic reconstruction applied to Maximum Parsimony
Veröffentlicht: IEEE 01.12.2014Veröffentlicht in 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) (01.12.2014)“… In this article we describe a bottom-up implementation of Path-Relinking for Phylogenetic Trees in the context of the resolution of the Maximum Parsimony …”
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