Titlebook: Intelligent Computing Theories and Methodologies; 11th International C De-Shuang Huang,Kang-Hyun Jo,Abir Hussain Conference proceedings 201

壓倒性勝利

Yang Liu,Zhan-Li Sun,Yun Jing,Yang Qian,De-Xiang Zhang

花爭吵

Hongwei Jiang,Jun Liu,Keyang Luo,Wei Hu,Xiaoming Liu

Deduct

Sinus-Node

刺激

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

詞匯記憶方法

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

可轉變

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 situat

agenda

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 a

Solace

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 learning

Vulvodynia