External-Otitis
发表于 2025-3-21 17:05:27
书目名称Evolutionary Multi-Criterion Optimization影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0317980<br><br> <br><br>书目名称Evolutionary Multi-Criterion Optimization读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0317980<br><br> <br><br>
现代
发表于 2025-3-22 00:16:38
An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Option. To evaluate these algorithms, performance metrics either require the knowledge of the true Pareto-optimal solutions or, are ad-hoc and heuristic based. In this paper, we suggest a KKT proximity measure (KKTPM) that can provide an estimate of the proximity of a set of trade-off solutions from th
ASSET
发表于 2025-3-22 01:53:32
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极小量
发表于 2025-3-22 07:09:45
Clustering Based Parallel Many-Objective Evolutionary Algorithms Using the Shape of the Objective Ve MOEAs are unable to maintain the same effectiveness showed for two or three objectives. Therefore, as a way to ameliorate this performance degradation several authors proposed preference-based methods as an alternative to Pareto based approaches. On the other hand, parallelization has shown to be u
linguistics
发表于 2025-3-22 08:55:41
Faster Exact Algorithms for Computing Expected Hypervolume Improvementaussian distribution of a new candidate point. It is frequently used as an infill or prescreening criterion in multiobjective optimization with expensive function evaluations where predictions are provided by Kriging or Gaussian process surrogate models. The expected hypervolume improvement has good
MENT
发表于 2025-3-22 15:33:01
A GPU-Based Algorithm for a Faster Hypervolume Contribution Computationot only as a quality measure for comparing final results of multi-objective evolutionary algorithms (MOEAs), but also as a selection operator (it is, for example, very suitable for .). However, it has one serious drawback: computing the exact hypervolume is highly costly. The best known algorithms t
MENT
发表于 2025-3-22 19:14:31
A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimizationatorial optimization, where a strict theoretical analysis is generally out of reach due to the high complexity of the underlying problem. Based on the examination of problem features from a multiobjective perspective, we improve the understanding of the efficiency of a simple dominance-based EMO alg
SKIFF
发表于 2025-3-22 22:07:50
Modified Distance Calculation in Generational Distance and Inverted Generational Distancermance indicators evaluate the quality of an obtained solution set in comparison with a pre-specified reference point set. Both indicators are based on the distance between a solution and a reference point. The Euclidean distance in an objective space is usually used for distance calculation. Our id
Feigned
发表于 2025-3-23 01:45:32
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPsmulti-objective optimization problems. The discussions and initial computations indicate that the problem to compute an approximation of the entire solution set of such a problem via stochastic search algorithms is well-conditioned. The new insights may be helpful for the design of novel stochastic
越自我
发表于 2025-3-23 06:37:00
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