Titlebook: Advances in Swarm Intelligence; 15th International C Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The A

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書目名稱Advances in Swarm Intelligence影響因子(影響力)




書目名稱Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Swarm Intelligence被引頻次




書目名稱Advances in Swarm Intelligence被引頻次學(xué)科排名




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書目名稱Advances in Swarm Intelligence年度引用學(xué)科排名




書目名稱Advances in Swarm Intelligence讀者反饋




書目名稱Advances in Swarm Intelligence讀者反饋學(xué)科排名

翅膀拍動

Modellkonzeption und Hypothesen,and oscillation problems caused by the fixed step-size. The reproduction step improves the non-elite solutions based on non-elite reverse learning and incorporates a chaotic disturbance mechanism to enhance the convergence speed and effectively reduce the possibility of the population falling into l

Palliation

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Proposal of?a?Memory-Based Ensemble Particle Swarm Optimizernerations during the evolution of the particles. To solve this weakness, the article presents a PSO approach based on a sliding memory that stores these generations and applies them in the dynamic selection of algorithms, making a choice even more efficient. We compare the proposal with other partic

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0302-9743 ces in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23–26, 2024...The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:..Part I - Particle swarm optimizat

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Betrachtung des Untersuchungsgegenstandes, integration involves updating the inertia weight and incorporating a local search to refine search directions, termed PSO-IWLS (PSO with Inertia Weight Local Search). The PSO-IWLS has demonstrated superior performance compared to state-of-the-art approaches on large-scale benchmarks, excelling in both computation time and solution quality.

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