道学气 发表于 2025-3-23 10:57:18
Task Partitioning via Ant Colony Optimization for Distributed Assemblyteam of ants dividing a set of tasks, with pheromone marking connections between tasks guiding decisions on task allocation. We present simulation results for various 2-D and 3-D structures and discuss the advantages of the ACO formulation in the context of other existing approaches.JADED 发表于 2025-3-23 15:23:09
The Self-adaptive Comprehensive Learning Particle Swarm Optimizerhe search commences. Application of the Self-Adaptive Comprehensive Learning Particle Swarm Optimizer (SACLPSO) to 9 well known test functions show an improvement in performance on most of the functions compared to CLPSO and a tuned PSO.contrast-medium 发表于 2025-3-23 18:08:24
http://reply.papertrans.cn/89/8837/883671/883671_13.pngconservative 发表于 2025-3-23 22:54:32
A “Thermodynamic” Approach to Multi-robot Cooperative Localization with Noisy Sensorsnts and by presenting a novel analysis based on the .assumption. The results of this paper are more precise than what was previously reported. Nevertheless, when considering the limit of a large group of robots, and after a long “stabilization” time, the final results turn out to be identical.变异 发表于 2025-3-24 05:56:48
http://reply.papertrans.cn/89/8837/883671/883671_15.pngExpertise 发表于 2025-3-24 08:19:06
http://reply.papertrans.cn/89/8837/883671/883671_16.png分解 发表于 2025-3-24 12:33:00
http://reply.papertrans.cn/89/8837/883671/883671_17.pngsenile-dementia 发表于 2025-3-24 15:27:23
http://reply.papertrans.cn/89/8837/883671/883671_18.png温和女人 发表于 2025-3-24 19:03:32
http://reply.papertrans.cn/89/8837/883671/883671_19.pngbifurcate 发表于 2025-3-25 01:21:55
AcoSeeD: An Ant Colony Optimization for Finding Optimal Spaced Seeds in Biological Sequence Searchte. Experimental results demonstrate that AcoSeeD brings a significant improvement of sensitivity while demanding the same computational time as other state-of-the-art methods. We also introduces an alternative way of using local search that exerts a fast approximation of the objective function in ACO.