Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm

Nojima, Yusuke; Narukawa, Kaname; Kaige, Shiori; Ishibuchi, Hisao

doi:10.1007/978-3-540-31880-4_24

“…The basic issue is to determine the appropriate values of ε i (i = 1,…,4). Thus, a separate problem, as illustrated in equations (25) - (26), is solved for each objective function Z i , and the optimal solution is used to specify ( , ) the vector . Then, the range of values…”

Section: An Approach For the Mo-nmpp-cho Based On The Constraint Methodsmentioning

confidence: 99%

Best-compromise nutritional menus for childhood obesity

Bello

¹

,

Gallardo

²

,

Pradenas

³

et al. 2019

Preprint

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…The multi-objective GA adopted is the well-known NSGA-II [41], which has been extensively investigated and successfully tested [41][42][43][44]. The NSGA-II algorithm is based on the idea of transforming the objectives into a single fitness measure by the creation of a number of fronts, sorted according to non-domination.…”

Section: Searching For Best Strategiesmentioning

confidence: 99%

A decision support tool coupling a causal model and a multi-objective genetic algorithm

Blečić

¹

,

Cecchini

²

,

Trunfio

³

2006

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…A multi-objective genetic algorithm is used to determine an appropriate daily menu based on cost, user preferences and nutritional requirements [10].The effect of removing overlapping solutions is examined through computational experiments where each removal strategy is combined into the NSGA-II algorithm [11]. Abdullah et al [12] presented an overview of genetic algorithm (GA) developed specially for problems with multiple objectives.…”

Section: Introductionmentioning

confidence: 99%

Simulation Optimization of Process Parameters in Composite Drilling Process Using Multi-objective Evolutionary Algorithm

Latha

¹

,

Kumar

²

2009

2009 International Conference on Advances in Recent Technologies in Communication and Computing

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

show abstract

Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm

Cited by 26 publications

References 14 publications

Best-compromise nutritional menus for childhood obesity

Best-compromise nutritional menus for childhood obesity

A decision support tool coupling a causal model and a multi-objective genetic algorithm

Simulation Optimization of Process Parameters in Composite Drilling Process Using Multi-objective Evolutionary Algorithm

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