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IEEE bio-inspired networking 2010专刊
- 2010年IEEE中关于仿生学在通信领域中的应用的文章合集，涉及有线网络、光网络、传感器网络方面
HumanAgeEstimationUsingBio-inspiredFeatures
- 这个为2009年CVPR的文章，文章标题为Human Age Estimation Using Bio-inspired Features，也就是人脸年纪的识别，大家可以学习一下-This article CVPR, 2009, article entitled Human Age Estimation Using Bio-inspired Features, that is, with the identification of hu
xjms
- 细菌觅食算法，很好。可作为最优解的仿生算法使用。-Bacterial foraging algorithm, very good. Can be used as biomimetic algorithms use the optimal solution.
Bio-inspired_Routing_Protocol
- Bio-inspired routing protocol for mobile ad hoc networks
10.1.1.132.4864
- Adaptive Bio-Inspired Wireless Network Routing for Planetary Surface Exploration
BIOGAS_Lecture_Novl_2011
- Bio Gas Inspired material
PIO
- PIO算法的matlab程序，用于路径自动规划-Inspired by the above homing behaviors of pigeons, a novel bio-inspired swarm intelligence optimizer which is named PIO has been invented in 2014 . In order to idealize some of the homing characte
EWA
- Earthworms can aerate the soil with their burrowing action and enrich the soil with their waste nutrients. Inspired by the earthworm contribution in nature, a new kind of bio-inspired metaheuristic algorithm, called eart
BSA
- 鸟群算法（附论文）。鸟群算法是一直新的生物种群算法，可有效解决优化问题。鸟群算法是基于智能粒子群，从鸟的生活习性中抽象出来的算法。 -A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
Paper_2
- Bio-Inspired Relay Node Placement Heuristics
matlab程序
- 仿生智能优化算法matlab程序，用于算法之间的比较，测试算法性能。(Bio-inspired intelligent optimization algorithm matlab program)
CLPSO
- PSO算法的改进算法，用于比较，测试算法的性能。(Bio-inspired intelligent optimization algorithm matlab program)
JADE
- DE算法的改进算法，用于比较，测试算法的性能。(Bio-inspired intelligent optimization algorithm matlab program)
EPSDE
- 差分进化算法的改进算法，用于比较和测试算法性能。(Bio-inspired intelligent optimization algorithm matlab program)
SaDE
- 差分进化算法的改进算法，用于比较和测试算法的性能。(Bio-inspired intelligent optimization algorithm matlab program)
GL-25
- 本程序是遗传算法的改进算法，能很好的用于测试和比较算法的性能。(Bio-inspired intelligent optimization algorithm matlab program)
GA
- In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms a