搜索资源列表
shell(c++)
- 经典的希尔排序算法，对大家学习数据结构及培养编程思想有所启发！-classic Hill sorting algorithm for data to study the structure and culture programming philosophy inspired!
cod
- 偏最小二乘 希望对大家编程有启发-PLS simulation program, we hope to have inspired programming
kf.thesis
- 抑制kalman filter滤波发散问题的小论文合集，相关人士看后定会有启发！-Suppression filter kalman filter divergence problem Essay Collection, after the relevant people to see there will be inspired!
atashpaz.comImperialist_Competitve_A
- Imperialist Competitive Algorithm: An Algorithm for Optimization Inspired by Imperialistic Competition
SGA
- 遗传算法是在生物进化的启示下得到的一种搜索和自适应算法。此程序包为GA算法的源代码。-Genetic algorithms are inspired by biological evolution to be a search and adaptive algorithm. This package for the GA algorithm source code.
1111
- 量子进化算法和免疫算法都是解决优化问题的强有力算法。在分析了量子进化算法搜索的特点和免疫算法的机理基础上，对它们进行比较，阐明了二者的不同特点-Quantum-inspired evolutionary algorithms and immune algorithms are a powerful algorithm to solve optimization problems. After analyzing the characteristics of the quantum evoluti
12345
- 分析量子进化算法和免疫算子的特点,提出一种分级变异的量子进化算法,用于求解多目标优化问题-Analysis of quantum-inspired evolutionary algorithms and immune operator characteristics, presents a hierarchical variation of the quantum-inspired evolutionary algorithm for solving multi-objective optimi
zsxjfshiyan
- 最速下降法又称为梯度法，是1847 年由著名数学家Cauchy 给出的，它是解析法中最古老的一种，其他解析方法或是它的变形，或是受它的启发而得到的，因此它是最优化方法的基础。作为一种基本的算法，他在最优化方法中占有重要地位。-The steepest descent method called gradient method, is 1847 by famous mathematician Cauchy given, it is the most ancient of analytical me
ABC
- ABC algorithm. an evolutionary algorithm for solving optimization problems that id inspired of honey bees foraging.
cascadb-master
- CascaDB 该算法借助B-tree 算法实现-CascaDB Yet another write-optimized storage engine, using buffered B-tree algorithm inspired by TokuDB.
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
fpa_demo
- Flower pollination is an intriguing process in the natural world. Its evolutionary characteristics can be used to design new optimization algorithms. In this paper, we propose a new algorithm, namely, flower pollination algorithm, inspired by the
SPHYSICS_3D_v2.2.003
- SPHysics是光滑粒子流体动力学的平台（SPH）由莫纳汉（1992）的制定灵感代码的研究人员在美国约翰霍普金斯大学（美国）联合开发，维哥曼彻斯特大学（英国）大学（西班牙），以及罗马萨皮恩扎大学（意大利）。发展了数年，主要以研究自由表面流的现象，其中欧拉方法可能难以适用，如波，对海上构筑物损坏断裂的影响。我们很高兴地宣布，有3个可用的代码：代码功能，而未来的版本可以在（未来发展及发行版）中找到。-SPHysics is a platform of Smoothed Particle Hydro
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
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
antcolony
- This code is for solving traveling salesman problem using ant colony algorithm.Ant Colony Optimization (ACO) is a population-based approach for solving combinatorial optimization problems that is inspired by the foraging behavior of ants and thei
genetic-algorithm
- In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimizatio
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 (