压倒性胜利 发表于 2025-3-25 05:59:08
Yang Liu,Zhan-Li Sun,Yun Jing,Yang Qian,De-Xiang Zhang花争吵 发表于 2025-3-25 11:08:37
Hongwei Jiang,Jun Liu,Keyang Luo,Wei Hu,Xiaoming LiuDeduct 发表于 2025-3-25 14:45:23
http://reply.papertrans.cn/47/4695/469493/469493_23.pngSinus-Node 发表于 2025-3-25 17:13:21
http://reply.papertrans.cn/47/4695/469493/469493_24.png刺激 发表于 2025-3-25 20:58:11
A Genetic Local Search Algorithm for Optimal Testing Resource Allocation in Module Software Systemstesting phase attracted lots of attention. The Optimal Testing Resource Allocation Problems (OTRAPs) involve seeking for an optimal allocation of limited testing resource. There are two major objectives in the OTRAPs: reliability and cost. Since the designers pay more and more attention to reducing词汇记忆方法 发表于 2025-3-26 03:53:50
An Improved Artificial Bee Colony Algorithm Based on Particle Swarm Optimization and Differential Eed PSO-DE-PABC and PSO-DE-GABC are proposed based on Particle Swarm Optimization (PSO) and Differential Evolution (DE). PSO-DE-PABC generates new candidate position around the random particle to improve divergence. PSO-DE-GABC generates new candidate position around the global best solution to accel可转变 发表于 2025-3-26 05:18:31
New Approaches to the Problems of Symmetric and Asymmetric Continuous Minimax Optimizations,rstly we propose a new method for efficiently solving symmetric minimax problem using coevolutionary particle swarm optimization, in which a two-way alpha-beta pruning evaluation method and a simulated annealing based replacement strategy are employed. Secondly, in order to address asymmetric situatagenda 发表于 2025-3-26 12:02:09
A Video Steganalysis Algorithm for H.264/AVC Based on the Markov Features,ideo frames. First, divide video frames into a new kind of special frame structure of P.-I-P., calculate the luminance component for every frame of the macroblocks. And then we use the Eulerian-distance of vectors to express the correlation between macroblocks to get the most similar macroblock of aSolace 发表于 2025-3-26 13:44:51
Multi AUV Intelligent Autonomous Learning Mechanism Based on QPSO Algorithm,e coupling intelligent group structure, multiple AUV system flexibility and openness, multiple AUV system can be combined with swarm intelligence algorithm. So, using the swarm intelligence research of particle swarm optimization (pso) autonomous intelligent AUV underwater robot autonomous learningVulvodynia 发表于 2025-3-26 17:05:28
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