搜索资源列表
Inspired-by-Nature
- this is a blogger template
matlab-n-net-tl
- 神经网络是单个并行处理元素的集合，我们从生物学神经系统得到启发。在自然界，网 络功能主要由神经节决定，我们可以通过改变连接点的权重来训练神经网络完成特定的功能-A single neural network is a collection of parallel processing elements, we have been inspired by biological nervous system. In nature, the network function of a decisi
nnet
- Neural networks are composed of simple elements operating in parallel. These elements are inspired by biological nervous systems. As in nature, the network function is determined largely by the connections between elements. We can train a neura
Nmatlab-n-nete
- 神经网络是单个并行处理元素的集合，我们从生物学神经系统得到启发。在自然界，网络络功能主要由神经节决定，我们可以通过改变连接点的权重来训练神经网络完成特定的功能 -The neural network is a collection of a single parallel processing elements, we are inspired by biological nervous system. In nature, the network network function is d
Cooperations-in-PSO
- We de ne ve cooperation mechanisms in Particle Swarm Optimisation, loosely inspired by some models occurring in nature, and based on two quan- tities: a help matrix, and a reputation vector. We call these ve mechanisms, respectively, Reciproc
firefly-algorithm
- The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorith
firefly_simple
- The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorith
hoopoe-heuristic-optimization.txt
- Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization algorithms should be used to obtain optimal solutions. This paper propose
ant-colony-optimization
- Large-scale problems are nonlinear problems that need metaheuristics, or global optimization algorithms. This paper reviews nature-inspired metaheuristics, then it introduces a framework named Competitive Ant Colony Optimization inspired by the chemi
MBO.ZIP
- 帝王蝶优化算法,一种新的元启发式优化算法！-In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying a
MBO
- 帝王蝶优化算法，一种新的元启发式优化算法。-In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying a
Codes-of-BSA-and-CSO
- Chicken Swarm Optimization（CSO）鸡群优化算法，2014年提出的群智能优化算法。 Bird Swarm Algorithm（BSA）鸟群算法，2015年最新的群智能优化算法。 作为两种全新的群智能优化算法，CSO和BSA都具有简单，良好扩展性的特点，是天然的多种群算法！ http://cn.mathworks.com/matlabcentral/profile/authors/3317597-xian-bing-meng 有关算法信息，可在上述网站查询
paper3
- A comparison of nature inspired algorithms for multi-threshold image segmentation
Baseedgedetection
- Ant colony optimization is a nature inspired optimization algorithm, that is motivated by the natural foraging behavior of ant species. Ant deposit pheromone on the ground to mark paths between a food source and their colony, which should be followed
BatAlgo-forGriewankFunction
- Bat Algorithm is one of the recently-developed nature-inspired methods in the field of computational intelligence Bat Algorithm (BA) have been adopted using the selected benchmark functions Griewank Function.
apso
- The Accelerated Particle Swarm Optimization: For detail, section Chapter 5 (section 5.3) in the book by Xin-She Yang, Nature-Inspired Metaheuristic Algorithms, First Edition, Luniver Press, (2008). Also in Chapter 8 (section 8.3, pag
MO-MATLAB
- this research paper we present an immunological algorithm (IA) to solve global numerical optimization problems for high-dimensional instances. Such optimization problems are a crucial component for many real-world applications. We designed two versio
MFO
- 人工智能优化算法MFO，效果很好，推荐下载(Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm)
inspired_by_axonal_delay
- Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal domain. In this paper we are exploring whether a biophysical model of a pyramidal neuron can detect and learn systematic time delays between the spik
CS-SVM
- 布谷鸟全局搜索算法，包含中文注释，其中来为飞行部分来自X. S. Yang, Nature-Inspired Metaheuristic Algorithms, 2nd Edition, Luniver Press, (2010)。(Cuckoo global search algorithm)