Dangle
发表于 2025-3-21 17:01:41
书目名称Recent Advances in Evolutionary Multi-objective Optimization影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0822744<br><br> <br><br>书目名称Recent Advances in Evolutionary Multi-objective Optimization读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0822744<br><br> <br><br>
dura-mater
发表于 2025-3-21 21:56:18
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intoxicate
发表于 2025-3-22 04:04:07
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Panacea
发表于 2025-3-22 07:36:51
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笨拙处理
发表于 2025-3-22 11:37:41
Evolutionary Bilevel Optimization: An Introduction and Recent Advances,ormous applications that are bilevel in nature; however, given the difficulties associated with solving this difficult class of problem, the area still lacks efficient solution methods capable of handling complex application problems. Most of the available solution methods can either be applied to h
Trypsin
发表于 2025-3-22 15:24:31
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ingenue
发表于 2025-3-22 17:05:56
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食道
发表于 2025-3-22 22:41:51
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Limpid
发表于 2025-3-23 05:27:43
Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey, devoted to briefly survey EAs that were proposed in the literature to handle DMOPs. In addition, an overview of the most commonly used test functions, performance measures and statistical tests is presented. Actual challenges and future research directions are also discussed.
GREEN
发表于 2025-3-23 06:27:26
1867-4534 ed-level students.Covers both the theory and practice of usiThis book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence,