贿赂 发表于 2025-3-25 06:00:20

http://reply.papertrans.cn/17/1674/167321/167321_21.png

Maximize 发表于 2025-3-25 08:23:16

Gründungsintention von Akademikernoptima. 12 CEC2005 benchmark functions are selected for testing the performance of CSBOA, and the results of the simulation demonstrate that the CSBOA algorithm effectively accelerates the convergence speed, improves the convergence accuracy, and reduces the likelihood of falling into localized states.

Heresy 发表于 2025-3-25 12:14:12

Implikationen und Limitationen, The results of experimental comparative analysis on ten benchmark test functions demonstrate that the improved Kepler optimization algorithm based on a mixed strategy exhibits notable improvements in both convergence speed and solution accuracy.

NOVA 发表于 2025-3-25 18:25:21

http://reply.papertrans.cn/17/1674/167321/167321_24.png

EVADE 发表于 2025-3-25 22:23:07

A Tri-Swarm Particle Swarm Optimization Considering the Cooperation and the Fitness Valuest fitness value were respectively divided into ERS, EIS and CS. The results on seven unimodal benchmark functions demonstrated the superiority of the proposed variant compared with other five variants.

催眠 发表于 2025-3-26 01:20:58

Circle Chaotic Search-Based Butterfly Optimization Algorithmoptima. 12 CEC2005 benchmark functions are selected for testing the performance of CSBOA, and the results of the simulation demonstrate that the CSBOA algorithm effectively accelerates the convergence speed, improves the convergence accuracy, and reduces the likelihood of falling into localized states.

缩影 发表于 2025-3-26 05:48:02

Improved Kepler Optimization Algorithm Based on Mixed Strategy The results of experimental comparative analysis on ten benchmark test functions demonstrate that the improved Kepler optimization algorithm based on a mixed strategy exhibits notable improvements in both convergence speed and solution accuracy.

勉励 发表于 2025-3-26 08:36:38

http://reply.papertrans.cn/17/1674/167321/167321_28.png

lattice 发表于 2025-3-26 14:42:36

http://reply.papertrans.cn/17/1674/167321/167321_29.png

狂热文化 发表于 2025-3-26 20:14:32

Cooperative Search and Rescue Target Assignment Based on Improved Ant Colony Algorithmand makes full use of the global search ability of ant colony algorithm to explore the optimal solution. The simulation results show that this method can quickly and effectively provide the target assignment scheme of search and rescue resources, maximize the survival probability, and improve the efficiency of search and rescue at sea.
页: 1 2 [3] 4 5 6 7
查看完整版本: Titlebook: Advances in Swarm Intelligence; 15th International C Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The A