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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
Cooperations-in-PSO
- We dene 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-optimisation
- the firefly optimiser inspired from the swarm behaviour of fireflies in nature
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
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
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 earthworm optimization algorithm (
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)