magnify
发表于 2025-3-21 19:40:28
书目名称Parallel Problem Solving from Nature, PPSN XI影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0741011<br><br> <br><br>书目名称Parallel Problem Solving from Nature, PPSN XI读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0741011<br><br> <br><br>
LIMIT
发表于 2025-3-22 00:19:16
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Insulin
发表于 2025-3-22 03:07:31
Parallel Problem Solving from Nature, PPSN XI978-3-642-15871-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
思考才皱眉
发表于 2025-3-22 08:19:32
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Intersect
发表于 2025-3-22 08:51:41
Bioreactor Control by Genetic ProgrammingGenetic programming is applied to the problem of bioreactor control. This highly nonlinear problem has previously been suggested as one of the challenging benchmarks to explore new ideas for building automatic controllers. It is shown that the derived control law is successful in a number of test cases.
Traumatic-Grief
发表于 2025-3-22 16:47:19
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凝乳
发表于 2025-3-22 20:26:47
A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decompositionposed in MOEA/D, whereby a multi-objective problem (MOP) is represented as several scalar aggregation problems. The scalar aggregation problems are viewed as particles in a swarm; each particle assigns weights to every optimisation objective. The problem is solved then as a Multi-Objective Particle
aspersion
发表于 2025-3-23 00:08:45
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Defiance
发表于 2025-3-23 01:58:34
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GREG
发表于 2025-3-23 07:49:59
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