Novel multi‐objective optimization method of electric and magnetic field emissions from double‐circuit overhead power line
Sign Up to like & getrecommendations! Published in 2017 at "International Transactions on Electrical Energy Systems"
DOI: 10.1002/etep.2243
Abstract: Summary This paper proposes a novel method for determining optimal arrangements of overhead double-circuit power line conductors aimed to reduce electric and magnetic field emissions. Extremely low frequency electric and magnetic field optimization problems have… read more here.
Keywords: electric magnetic; power; double circuit; objective optimization ... See more keywords
Multi-objective optimization case study with active and passive design in building engineering
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2080-6
Abstract: This research presents a synthetic case study for multi-objective optimization for an active and passive design procedure based on dynamic programming using genetic algorithms (GAs) and computational fluid dynamics (CFD). Both active and passive optimized… read more here.
Keywords: multi objective; active passive; objective optimization; optimization ... See more keywords
Universal partially evolved parallelization of MOEA/D for multi-objective optimization on message-passing clusters
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DOI: 10.1007/s00500-016-2125-y
Abstract: This paper presents a universal partially evolved parallelization of the multi-objective evolutionary algorithm based on decomposition (MOEA/D) for multi-objective optimization on message-passing clusters to reduce its computation time. The partially evolved MOEA/D (peMOEA/D) is suitable… read more here.
Keywords: partially evolved; multi objective; passing clusters; objective optimization ... See more keywords
Objective reduction for many-objective optimization problems using objective subspace extraction
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DOI: 10.1007/s00500-017-2498-6
Abstract: Multi-objective evolutionary algorithms (MOEAs) have shown their effectiveness in exploring a well converged and diversified approximation set for multi-objective optimization problems (MOPs) with 2 and 3 objectives. However, most of them perform poorly when tackling… read more here.
Keywords: many objective; objective optimization; optimization; optimization problems ... See more keywords
Bi-clustering of microarray data using a symmetry-based multi-objective optimization framework
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DOI: 10.1007/s00500-018-3227-5
Abstract: High-throughput technologies, like DNA microarray, help in simultaneous monitoring of the expression levels of thousands of genes during important biological processes and over the collection of experimental conditions. Automatically uncovering functionally related genes is a… read more here.
Keywords: optimization; objective optimization; clustering microarray; multi objective ... See more keywords
Assessing the quality of mobile graphical user interfaces using multi-objective optimization
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DOI: 10.1007/s00500-019-04391-8
Abstract: Aesthetic defects are a violation of quality attributes that are symptoms of bad interface design programming decisions. They lead to deteriorating the perceived usability of mobile user interfaces and negatively impact the User’s eXperience (UX)… read more here.
Keywords: user interfaces; objective optimization; quality; multi objective ... See more keywords
Grasshopper optimization algorithm for multi-objective optimization problems
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DOI: 10.1007/s10489-017-1019-8
Abstract: This work proposes a new multi-objective algorithm inspired from the navigation of grass hopper swarms in nature. A mathematical model is first employed to model the interaction of individuals in the swam including attraction force,… read more here.
Keywords: algorithm multi; multi objective; grasshopper optimization; objective optimization ... See more keywords
Splitting for Multi-objective Optimization
Sign Up to like & getrecommendations! Published in 2018 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-017-9572-5
Abstract: We introduce a new multi-objective optimization (MOO) methodology based the splitting technique for rare-event simulation. The method generalizes the elite set selection of the traditional splitting framework, and uses both local and global sampling to… read more here.
Keywords: methodology; multi objective; moo; objective optimization ... See more keywords
A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths
Sign Up to like & getrecommendations! Published in 2020 at "Transportation"
DOI: 10.1007/s11116-020-10117-9
Abstract: Improving public health through active transpiration investments has increasingly become a new research focus in transportation planning. This study is to propose a multi-objective optimization modeling framework, through an optimal allocation of active transportation investments,… read more here.
Keywords: transportation; multi objective; objective optimization; accessibility ... See more keywords
Radio resource management with QoS guarantees for LTE-A systems: a review focused on employing the multi-objective optimization techniques
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DOI: 10.1007/s11235-017-0342-z
Abstract: The increasing number of subscribers’ demand has led to the evolution of future wireless networks that support multimedia applications and require ensuring the quality of services it provides. As the radio resource is becoming scarce,… read more here.
Keywords: resource management; resource; multi objective; objective optimization ... See more keywords
A Novel Algorithm for Load Balancing in Mobile Cloud Networks: Multi-objective Optimization Approach
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DOI: 10.1007/s11277-017-4665-6
Abstract: Cloud computing is a type of computing, because they share computing resources for better throughput. In cloud, virtualization technique is used to maximize the power of cloud computing. Mobile cloud computing architecture is based on… read more here.
Keywords: cloud domain; multi objective; cloud; objective optimization ... See more keywords