ACORN
发表于 2025-3-21 18:59:22
书目名称Advances in Swarm Intelligence, Part II影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0149956<br><br> <br><br>书目名称Advances in Swarm Intelligence, Part II读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0149956<br><br> <br><br>
GULLY
发表于 2025-3-21 21:13:33
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Gesture
发表于 2025-3-22 01:21:38
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Anticoagulant
发表于 2025-3-22 05:41:11
Superconductivity by Kinetic Energy Saving?,cy. The result of experiment indicates that the algorithm is faster and more efficient than present mining algorithms when extracting frequent neighboring class sets with constraint class set in large spatial database.
dictator
发表于 2025-3-22 10:29:10
0302-9743 ntrol, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications. .978-3-642-21523-0978-3-642-21524-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
foodstuff
发表于 2025-3-22 16:42:59
Conference proceedings 2011election algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications. .
monologue
发表于 2025-3-22 18:49:30
Multi-Objective Optimization for Dynamic Single-Machine Schedulingor dynamic single-machine scheduling problem (DSMSP) with job release dates. In MOGEP a fitness assignment scheme, diversity maintaining strategy and elitist strategy are incorporated on the basis of original GEP. Results of simulation experiments show that the MOGEP can construct effective SRs whic
Dendritic-Cells
发表于 2025-3-23 01:10:02
Research of Pareto-Based Multi-Objective Optimization for Multi-Vehicle Assignment Problem Based on ired to satisfy all constrains and optimize overall criteria. Combined with MOPSO algorithm, a Pareto-based multi-objective model is proposed, which includes not only the time-cost tradeoff, but also a “Constraint-First-Objective-Next” strategy which handles constraints as an additional objective. N
愚笨
发表于 2025-3-23 01:39:02
Correlative Particle Swarm Optimization for Multi-objective Problemsomplex problems. In order to improve convergence and diversity of solutions, a correlative particle swarm optimization (CPSO) with disturbance operation is proposed, named MO-CPSO, for dealing with multi-objective problems. MO-CPSO adopts the correlative processing strategy to maintain population di
Ankylo-
发表于 2025-3-23 09:17:19
A PSO-Based Hybrid Multi-Objective Algorithm for Multi-Objective Optimization Problemsr operator of the genetic algorithm as the particle updating strategy. Second, a propagating mechanism is adopted to propagate the non-dominated archive. Third, a local search heuristic based on scatter search is applied to improve the non-dominated solutions. Computational study shows that the HMOP